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id stringlengths 10 10	title stringlengths 28 136	text stringlengths 5.62k 98.6k	num_sections int64 4 44
1906.03538	Seeing Things from a Different Angle: Discovering Diverse Perspectives about Claims	# Seeing Things from a Different Angle: Discovering Diverse Perspectives about Claims ## Abstract One key consequence of the information revolution is a significant increase and a contamination of our information supply. The practice of fact checking won't suffice to eliminate the biases in text data we observe, as t...	14
1906.06448	Can neural networks understand monotonicity reasoning?	# Can neural networks understand monotonicity reasoning? ## Abstract Monotonicity reasoning is one of the important reasoning skills for any intelligent natural language inference (NLI) model in that it requires the ability to capture the interaction between lexical and syntactic structures. Since no test set has bee...	10
1906.10551	Assessing the Applicability of Authorship Verification Methods	# Assessing the Applicability of Authorship Verification Methods ## Abstract Authorship verification (AV) is a research subject in the field of digital text forensics that concerns itself with the question, whether two documents have been written by the same person. During the past two decades, an increasing number o...	13
1907.01413	Speaker-independent classification of phonetic segments from raw ultrasound in child speech	# Speaker-independent classification of phonetic segments from raw ultrasound in child speech ## Abstract Ultrasound tongue imaging (UTI) provides a convenient way to visualize the vocal tract during speech production. UTI is increasingly being used for speech therapy, making it important to develop automatic methods...	10
1907.08937	Quantifying Similarity between Relations with Fact Distribution	# Quantifying Similarity between Relations with Fact Distribution ## Abstract We introduce a conceptually simple and effective method to quantify the similarity between relations in knowledge bases. Specifically, our approach is based on the divergence between the conditional probability distributions over entity pai...	37
1907.09369	Emotion Detection in Text: Focusing on Latent Representation	# Emotion Detection in Text: Focusing on Latent Representation ## Abstract In recent years, emotion detection in text has become more popular due to its vast potential applications in marketing, political science, psychology, human-computer interaction, artificial intelligence, etc. In this work, we argue that curren...	8
1907.11062	HireNet: a Hierarchical Attention Model for the Automatic Analysis of Asynchronous Video Job Interviews	# HireNet: a Hierarchical Attention Model for the Automatic Analysis of Asynchronous Video Job Interviews ## Abstract New technologies drastically change recruitment techniques. Some research projects aim at designing interactive systems that help candidates practice job interviews. Other studies aim at the automatic...	15
1908.04042	Evaluating Tag Recommendations for E-Book Annotation Using a Semantic Similarity Metric	# Evaluating Tag Recommendations for E-Book Annotation Using a Semantic Similarity Metric ## Abstract In this paper, we present our work to support publishers and editors in finding descriptive tags for e-books through tag recommendations. We propose a hybrid tag recommendation system for e-books, which leverages sea...	11
1908.05828	Named Entity Recognition for Nepali Language	# Named Entity Recognition for Nepali Language ## Abstract Named Entity Recognition (NER) has been studied for many languages like English, German, Spanish, and others but virtually no studies have focused on the Nepali language. One key reason is the lack of an appropriate, annotated dataset. In this paper, we descr...	19
1908.06264	EmotionX-IDEA: Emotion BERT -- an Affectional Model for Conversation	# EmotionX-IDEA: Emotion BERT -- an Affectional Model for Conversation ## Abstract In this paper, we investigate the emotion recognition ability of the pre-training language model, namely BERT. By the nature of the framework of BERT, a two-sentence structure, we adapt BERT to continues dialogue emotion prediction tas...	14
1908.06267	Message Passing Attention Networks for Document Understanding	# Message Passing Attention Networks for Document Understanding ## Abstract Graph neural networks have recently emerged as a very effective framework for processing graph-structured data. These models have achieved state-of-the-art performance in many tasks. Most graph neural networks can be described in terms of mes...	14
1908.06606	Question Answering based Clinical Text Structuring Using Pre-trained Language Model	# Question Answering based Clinical Text Structuring Using Pre-trained Language Model ## Abstract Clinical text structuring is a critical and fundamental task for clinical research. Traditional methods such as taskspecific end-to-end models and pipeline models usually suffer from the lack of dataset and error propaga...	19
1908.07245	GlossBERT: BERT for Word Sense Disambiguation with Gloss Knowledge	# GlossBERT: BERT for Word Sense Disambiguation with Gloss Knowledge ## Abstract Word Sense Disambiguation (WSD) aims to find the exact sense of an ambiguous word in a particular context. Traditional supervised methods rarely take into consideration the lexical resources like WordNet, which are widely utilized in kno...	20
1908.07816	A Multi-Turn Emotionally Engaging Dialog Model	# A Multi-Turn Emotionally Engaging Dialog Model ## Abstract Open-domain dialog systems (also known as chatbots) have increasingly drawn attention in natural language processing. Some of the recent work aims at incorporating affect information into sequence-to-sequence neural dialog modeling, making the response emot...	14
1908.08593	Revealing the Dark Secrets of BERT	# Revealing the Dark Secrets of BERT ## Abstract BERT-based architectures currently give state-of-the-art performance on many NLP tasks, but little is known about the exact mechanisms that contribute to its success. In the current work, we focus on the interpretation of self-attention, which is one of the fundamental...	18
1908.08717	Gender Representation in French Broadcast Corpora and Its Impact on ASR Performance	# Gender Representation in French Broadcast Corpora and Its Impact on ASR Performance ## Abstract This paper analyzes the gender representation in four major corpora of French broadcast. These corpora being widely used within the speech processing community, they are a primary material for training automatic speech r...	17
1908.10084	Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks	# Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks ## Abstract BERT (Devlin et al., 2018) and RoBERTa (Liu et al., 2019) has set a new state-of-the-art performance on sentence-pair regression tasks like semantic textual similarity (STS). However, it requires that both sentences are fed into the network,...	14
1908.10449	Interactive Machine Comprehension with Information Seeking Agents	# Interactive Machine Comprehension with Information Seeking Agents ## Abstract Existing machine reading comprehension (MRC) models do not scale effectively to real-world applications like web-level information retrieval and question answering (QA). We argue that this stems from the nature of MRC datasets: most of th...	22
1908.11047	Shallow Syntax in Deep Water	# Shallow Syntax in Deep Water ## Abstract Shallow syntax provides an approximation of phrase-syntactic structure of sentences; it can be produced with high accuracy, and is computationally cheap to obtain. We investigate the role of shallow syntax-aware representations for NLP tasks using two techniques. First, we e...	20
1909.00105	Generating Personalized Recipes from Historical User Preferences	# Generating Personalized Recipes from Historical User Preferences ## Abstract Existing approaches to recipe generation are unable to create recipes for users with culinary preferences but incomplete knowledge of ingredients in specific dishes. We propose a new task of personalized recipe generation to help these use...	9
1909.00154	Rethinking travel behavior modeling representations through embeddings	# Rethinking travel behavior modeling representations through embeddings ## Abstract This paper introduces the concept of travel behavior embeddings, a method for re-representing discrete variables that are typically used in travel demand modeling, such as mode, trip purpose, education level, family type or occupatio...	9
1909.00252	Humor Detection: A Transformer Gets the Last Laugh	# Humor Detection: A Transformer Gets the Last Laugh ## Abstract Much previous work has been done in attempting to identify humor in text. In this paper we extend that capability by proposing a new task: assessing whether or not a joke is humorous. We present a novel way of approaching this problem by building a mode...	14
1909.00338	Monitoring stance towards vaccination in twitter messages	# Monitoring stance towards vaccination in twitter messages ## Abstract BACKGROUND ::: We developed a system to automatically classify stance towards vaccination in Twitter messages, with a focus on messages with a negative stance. Such a system makes it possible to monitor the ongoing stream of messages on social me...	24
1909.00578	SUM-QE: a BERT-based Summary Quality Estimation Model	# SUM-QE: a BERT-based Summary Quality Estimation Model ## Abstract We propose SumQE, a novel Quality Estimation model for summarization based on BERT. The model addresses linguistic quality aspects that are only indirectly captured by content-based approaches to summary evaluation, without involving comparison with ...	15
1909.00694	Minimally Supervised Learning of Affective Events Using Discourse Relations	# Minimally Supervised Learning of Affective Events Using Discourse Relations ## Abstract Recognizing affective events that trigger positive or negative sentiment has a wide range of natural language processing applications but remains a challenging problem mainly because the polarity of an event is not necessarily p...	21
1909.01013	Duality Regularization for Unsupervised Bilingual Lexicon Induction	# Duality Regularization for Unsupervised Bilingual Lexicon Induction ## Abstract Unsupervised bilingual lexicon induction naturally exhibits duality, which results from symmetry in back-translation. For example, EN-IT and IT-EN induction can be mutually primal and dual problems. Current state-of-the-art methods, how...	11
1909.02560	Adversarial Examples with Difficult Common Words for Paraphrase Identification	# Adversarial Examples with Difficult Common Words for Paraphrase Identification ## Abstract Despite the success of deep models for paraphrase identification on benchmark datasets, these models are still vulnerable to adversarial examples. In this paper, we propose a novel algorithm to generate a new type of adversar...	19
1909.02776	Features in Extractive Supervised Single-document Summarization: Case of Persian News	# Features in Extractive Supervised Single-document Summarization: Case of Persian News ## Abstract Text summarization has been one of the most challenging areas of research in NLP. Much effort has been made to overcome this challenge by using either the abstractive or extractive methods. Extractive methods are more ...	22
1909.03526	Multi-Task Bidirectional Transformer Representations for Irony Detection	# Multi-Task Bidirectional Transformer Representations for Irony Detection ## Abstract Supervised deep learning requires large amounts of training data. In the context of the FIRE2019 Arabic irony detection shared task (IDAT@FIRE2019), we show how we mitigate this need by fine-tuning the pre-trained bidirectional enc...	14
1909.03582	Clickbait? Sensational Headline Generation with Auto-tuned Reinforcement Learning	# Clickbait? Sensational Headline Generation with Auto-tuned Reinforcement Learning ## Abstract Sensational headlines are headlines that capture people's attention and generate reader interest. Conventional abstractive headline generation methods, unlike human writers, do not optimize for maximal reader attention. In...	17
1909.05438	Neural Semantic Parsing in Low-Resource Settings with Back-Translation and Meta-Learning	# Neural Semantic Parsing in Low-Resource Settings with Back-Translation and Meta-Learning ## Abstract Neural semantic parsing has achieved impressive results in recent years, yet its success relies on the availability of large amounts of supervised data. Our goal is to learn a neural semantic parser when only prior ...	11
1909.06162	Neural Architectures for Fine-Grained Propaganda Detection in News	# Neural Architectures for Fine-Grained Propaganda Detection in News ## Abstract This paper describes our system (MIC-CIS) details and results of participation in the fine-grained propaganda detection shared task 2019. To address the tasks of sentence (SLC) and fragment level (FLC) propaganda detection, we explore di...	8
1909.06200	A Neural Approach to Irony Generation	# A Neural Approach to Irony Generation ## Abstract Ironies can not only express stronger emotions but also show a sense of humor. With the development of social media, ironies are widely used in public. Although many prior research studies have been conducted in irony detection, few studies focus on irony generation...	15
1909.06937	CM-Net: A Novel Collaborative Memory Network for Spoken Language Understanding	# CM-Net: A Novel Collaborative Memory Network for Spoken Language Understanding ## Abstract Spoken Language Understanding (SLU) mainly involves two tasks, intent detection and slot filling, which are generally modeled jointly in existing works. However, most existing models fail to fully utilize co-occurrence relati...	27
1909.07734	SocialNLP EmotionX 2019 Challenge Overview: Predicting Emotions in Spoken Dialogues and Chats	# SocialNLP EmotionX 2019 Challenge Overview: Predicting Emotions in Spoken Dialogues and Chats ## Abstract We present an overview of the EmotionX 2019 Challenge, held at the 7th International Workshop on Natural Language Processing for Social Media (SocialNLP), in conjunction with IJCAI 2019. The challenge entailed ...	19
1909.08041	Revealing the Importance of Semantic Retrieval for Machine Reading at Scale	# Revealing the Importance of Semantic Retrieval for Machine Reading at Scale ## Abstract Machine Reading at Scale (MRS) is a challenging task in which a system is given an input query and is asked to produce a precise output by "reading" information from a large knowledge base. The task has gained popularity with it...	23
1909.08191	Exploring Scholarly Data by Semantic Query on Knowledge Graph Embedding Space	# Exploring Scholarly Data by Semantic Query on Knowledge Graph Embedding Space ## Abstract The trends of open science have enabled several open scholarly datasets which include millions of papers and authors. Managing, exploring, and utilizing such large and complicated datasets effectively are challenging. In recen...	15
1909.08824	Modeling Event Background for If-Then Commonsense Reasoning Using Context-aware Variational Autoencoder	# Modeling Event Background for If-Then Commonsense Reasoning Using Context-aware Variational Autoencoder ## Abstract Understanding event and event-centered commonsense reasoning are crucial for natural language processing (NLP). Given an observed event, it is trivial for human to infer its intents and effects, while...	16
1909.09484	Generative Dialog Policy for Task-oriented Dialog Systems	# Generative Dialog Policy for Task-oriented Dialog Systems ## Abstract There is an increasing demand for task-oriented dialogue systems which can assist users in various activities such as booking tickets and restaurant reservations. In order to complete dialogues effectively, dialogue policy plays a key role in tas...	19
1909.09986	Improving Quality and Efficiency in Plan-based Neural Data-to-Text Generation	# Improving Quality and Efficiency in Plan-based Neural Data-to-Text Generation ## Abstract We follow the step-by-step approach to neural data-to-text generation we proposed in Moryossef et al (2019), in which the generation process is divided into a text-planning stage followed by a plan-realization stage. We sugges...	20