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05/26/2023
Improved Instruction Ordering in Recipe-Grounded Conversation
In this paper, we study the task of instructional dialogue and focus on ...
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05/24/2023
Instruction Tuning with Lexicons for Zero-Shot Style Classification
Style is used to convey authors' intentions and attitudes. Despite the s...
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05/23/2023
Are Large Language Models Robust Zero-shot Coreference Resolvers?
Recent progress in domain adaptation for coreference resolution relies o...
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05/23/2023
Schema-Driven Information Extraction from Heterogeneous Tables
In this paper, we explore the question of whether language models (LLMs)...
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05/02/2023
Distill or Annotate? Cost-Efficient Fine-Tuning of Compact Models
Fine-tuning large models is highly effective, however, inference using t...
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02/23/2023
Can Pre-trained Vision and Language Models Answer Visual Information-Seeking Questions?
Large language models have demonstrated an emergent capability in answer...
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12/19/2022
Do CoNLL-2003 Named Entity Taggers Still Work Well in 2023?
Named Entity Recognition (NER) is an important and well-studied task in ...
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12/19/2022
Human-in-the-loop Evaluation for Early Misinformation Detection: A Case Study of COVID-19 Treatments
We present a human-in-the-loop evaluation framework for fact-checking no...
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11/28/2022
Frustratingly Easy Label Projection for Cross-lingual Transfer
Translating training data into many languages has emerged as a practical...
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10/28/2022
Stanceosaurus: Classifying Stance Towards Multilingual Misinformation
We present Stanceosaurus, a new corpus of 28,033 tweets in English, Hind...
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10/07/2022
Few-Shot Anaphora Resolution in Scientific Protocols via Mixtures of In-Context Experts
Anaphora resolution is an important task for information extraction acro...
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08/15/2022
SynKB: Semantic Search for Synthetic Procedures
In this paper we present SynKB, an open-source, automatically extracted ...
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09/10/2021
Pre-train or Annotate? Domain Adaptation with a Constrained Budget
Recent work has demonstrated that pre-training in-domain language models...
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08/26/2021
Just Say No: Analyzing the Stance of Neural Dialogue Generation in Offensive Contexts
Dialogue models trained on human conversations inadvertently learn to ge...
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01/25/2021
Process-Level Representation of Scientific Protocols with Interactive Annotation
We develop Process Execution Graphs (PEG), a document-level representati...
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10/27/2020
WNUT-2020 Task 1 Overview: Extracting Entities and Relations from Wet Lab Protocols
This paper presents the results of the wet lab information extraction ta...
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10/13/2020
Model Selection for Cross-Lingual Transfer using a Learned Scoring Function
Transformers that are pre-trained on multilingual text corpora, such as,...
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06/03/2020
Extracting COVID-19 Events from Twitter
We present a corpus of 7,500 tweets annotated with COVID-19 events, incl...
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05/21/2020
Fluent Response Generation for Conversational Question Answering
Question answering (QA) is an important aspect of open-domain conversati...
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05/04/2020
Code and Named Entity Recognition in StackOverflow
There is an increasing interest in studying natural language and compute...
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04/30/2020
A Focused Study to Compare Arabic Pre-training Models on Newswire IE Tasks
The Arabic language is a morphological rich language, posing many challe...
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12/14/2019
SemEval-2013 Task 2: Sentiment Analysis in Twitter
In recent years, sentiment analysis in social media has attracted a lot ...
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12/06/2019
SemEval-2014 Task 9: Sentiment Analysis in Twitter
We describe the Sentiment Analysis in Twitter task, ran as part of SemEv...
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12/05/2019
SemEval-2015 Task 10: Sentiment Analysis in Twitter
In this paper, we describe the 2015 iteration of the SemEval shared task...
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12/03/2019
SemEval-2016 Task 4: Sentiment Analysis in Twitter
This paper discusses the fourth year of the “Sentiment Analysis in Twitt...
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03/29/2019
Structured Minimally Supervised Learning for Neural Relation Extraction
We present an approach to minimally supervised relation extraction that ...
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02/27/2019
Analyzing the Perceived Severity of Cybersecurity Threats Reported on Social Media
Breaking cybersecurity events are shared across a range of websites, inc...
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09/04/2018
Generating More Interesting Responses in Neural Conversation Models with Distributional Constraints
Neural conversation models tend to generate safe, generic responses for ...
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05/01/2018
An Annotated Corpus for Machine Reading of Instructions in Wet Lab Protocols
We describe an effort to annotate a corpus of natural language instructi...
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07/22/2017
"i have a feeling trump will win..................": Forecasting Winners and Losers from User Predictions on Twitter
Social media users often make explicit predictions about upcoming events...
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01/23/2017
Adversarial Learning for Neural Dialogue Generation
In this paper, drawing intuition from the Turing test, we propose using ...
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08/09/2016
TweeTime: A Minimally Supervised Method for Recognizing and Normalizing Time Expressions in Twitter
We describe TweeTIME, a temporal tagger for recognizing and normalizing ...
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06/05/2016
Deep Reinforcement Learning for Dialogue Generation
Recent neural models of dialogue generation offer great promise for gene...
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10/18/2015
Learning multi-faceted representations of individuals from heterogeneous evidence using neural networks
Inferring latent attributes of people online is an important social comp...
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11/11/2014
