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05/24/2023
Abductive Commonsense Reasoning Exploiting Mutually Exclusive Explanations
Abductive reasoning aims to find plausible explanations for an event. Th...
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05/23/2023
HOP, UNION, GENERATE: Explainable Multi-hop Reasoning without Rationale Supervision
Explainable multi-hop question answering (QA) not only predicts answers ...
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05/03/2023
Fashionpedia-Ads: Do Your Favorite Advertisements Reveal Your Fashion Taste?
Consumers are exposed to advertisements across many different domains on...
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05/03/2023
Fashionpedia-Taste: A Dataset towards Explaining Human Fashion Taste
Existing fashion datasets do not consider the multi-facts that cause a c...
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09/15/2022
Automatic Error Analysis for Document-level Information Extraction
Document-level information extraction (IE) tasks have recently begun to ...
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05/04/2022
Compositional Task-Oriented Parsing as Abstractive Question Answering
Task-oriented parsing (TOP) aims to convert natural language into machin...
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03/23/2022
Visual Prompt Tuning
The current modus operandi in adapting pre-trained models involves updat...
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12/15/2021
Rethinking Nearest Neighbors for Visual Classification
Neural network classifiers have become the de-facto choice for current "...
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09/28/2021
When in Doubt: Improving Classification Performance with Alternating Normalization
We introduce Classification with Alternating Normalization (CAN), a non-...
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08/31/2021
Faithful or Extractive? On Mitigating the Faithfulness-Abstractiveness Trade-off in Abstractive Summarization
Despite recent progress in abstractive summarization, systems still suff...
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04/15/2021
Exploring Visual Engagement Signals for Representation Learning
Visual engagement in social media platforms comprises interactions with ...
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02/01/2021
Self-Teaching Machines to Read and Comprehend with Large-Scale Multi-Subject Question Answering Data
In spite of much recent research in the area, it is still unclear whethe...
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11/11/2020
Intentonomy: a Dataset and Study towards Human Intent Understanding
An image is worth a thousand words, conveying information that goes beyo...
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11/05/2020
Improving Event Duration Prediction via Time-aware Pre-training
End-to-end models in NLP rarely encode external world knowledge about le...
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10/24/2020
Adding Chit-Chats to Enhance Task-Oriented Dialogues
The existing dialogue corpora and models are typically designed under tw...
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10/07/2020
Exploring the Role of Argument Structure in Online Debate Persuasion
Online debate forums provide users a platform to express their opinions ...
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10/07/2020
WikiLingua: A New Benchmark Dataset for Cross-Lingual Abstractive Summarization
We introduce WikiLingua, a large-scale, multilingual dataset for the eva...
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09/12/2020
Improving Machine Reading Comprehension with Contextualized Commonsense Knowledge
In this paper, we aim to extract commonsense knowledge to improve machin...
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08/21/2020
Document-level Event-based Extraction Using Generative Template-filling Transformers
We revisit the classic information extraction problem of document-level ...
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05/13/2020
Document-Level Event Role Filler Extraction using Multi-Granularity Contextualized Encoding
Few works in the literature of event extraction have gone beyond individ...
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04/28/2020
Event Extraction by Answering (Almost) Natural Questions
The problem of event extraction requires detecting the event trigger and...
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04/26/2020
Fashionpedia: Ontology, Segmentation, and an Attribute Localization Dataset
In this work we explore the task of instance segmentation with attribute...
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04/17/2020
Dialogue-Based Relation Extraction
We present the first human-annotated dialogue-based relation extraction ...
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04/06/2020
The Role of Pragmatic and Discourse Context in Determining Argument Impact
Research in the social sciences and psychology has shown that the persua...
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06/26/2019
Determining Relative Argument Specificity and Stance for Complex Argumentative Structures
Systems for automatic argument generation and debate require the ability...
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06/26/2019
A Corpus for Modeling User and Language Effects in Argumentation on Online Debating
Existing argumentation datasets have succeeded in allowing researchers t...
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06/26/2019
Exploring the Role of Prior Beliefs for Argument Persuasion
Public debate forums provide a common platform for exchanging opinions o...
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06/21/2019
Be Consistent! Improving Procedural Text Comprehension using Label Consistency
Our goal is procedural text comprehension, namely tracking how the prope...
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06/12/2019
Keeping Notes: Conditional Natural Language Generation with a Scratchpad Mechanism
We introduce the Scratchpad Mechanism, a novel addition to the sequence-...
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04/21/2019
Probing Prior Knowledge Needed in Challenging Chinese Machine Reading Comprehension
With an ultimate goal of narrowing the gap between human and machine rea...
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02/01/2019
DREAM: A Challenge Dataset and Models for Dialogue-Based Reading Comprehension
We present DREAM, the first dialogue-based multiple-choice reading compr...
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10/31/2018
Improving Machine Reading Comprehension with General Reading Strategies
Reading strategies have been shown to improve comprehension levels, espe...
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10/08/2018
Zero-Resource Multilingual Model Transfer: Learning What to Share
Modern natural language processing and understanding applications have e...
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09/03/2018
Towards Dynamic Computation Graphs via Sparse Latent Structure
Deep NLP models benefit from underlying structures in the data---e.g., p...
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08/27/2018
Unsupervised Multilingual Word Embeddings
Multilingual Word Embeddings (MWEs) represent words from multiple langua...
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06/16/2018
The Neural Painter: Multi-Turn Image Generation
In this work we combine two research threads from Vision/ Graphics and N...
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05/15/2018
Harvesting Paragraph-Level Question-Answer Pairs from Wikipedia
We study the task of generating from Wikipedia articles question-answer ...
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02/15/2018
Multinomial Adversarial Networks for Multi-Domain Text Classification
Many text classification tasks are known to be highly domain-dependent. ...
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02/12/2018
SparseMAP: Differentiable Sparse Structured Inference
Structured prediction requires searching over a combinatorial number of ...
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04/29/2017
Learning to Ask: Neural Question Generation for Reading Comprehension
We study automatic question generation for sentences from text passages ...
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04/23/2017
Argument Mining with Structured SVMs and RNNs
We propose a novel factor graph model for argument mining, designed for ...
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06/25/2016
Summarizing Decisions in Spoken Meetings
This paper addresses the problem of summarizing decisions in spoken meet...
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06/24/2016
Focused Meeting Summarization via Unsupervised Relation Extraction
We present a novel unsupervised framework for focused meeting summarizat...
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06/24/2016
Unsupervised Topic Modeling Approaches to Decision Summarization in Spoken Meetings
We present a token-level decision summarization framework that utilizes ...
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06/24/2016
A Sentence Compression Based Framework to Query-Focused Multi-Document Summarization
We consider the problem of using sentence compression techniques to faci...
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06/17/2016
Improving Agreement and Disagreement Identification in Online Discussions with A Socially-Tuned Sentiment Lexicon
We study the problem of agreement and disagreement detection in online d...
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06/17/2016
A Piece of My Mind: A Sentiment Analysis Approach for Online Dispute Detection
We investigate the novel task of online dispute detection and propose a ...
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06/17/2016
Query-Focused Opinion Summarization for User-Generated Content
We present a submodular function-based framework for query-focused opini...
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06/17/2016
Socially-Informed Timeline Generation for Complex Events
Existing timeline generation systems for complex events consider only in...
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06/06/2016
