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09/15/2023
Multilingual Sentence-Level Semantic Search using Meta-Distillation Learning
Multilingual semantic search is the task of retrieving relevant contents...
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06/26/2023
WinoQueer: A Community-in-the-Loop Benchmark for Anti-LGBTQ+ Bias in Large Language Models
We present WinoQueer: a benchmark specifically designed to measure wheth...
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06/12/2023
RECAP: Retrieval-Enhanced Context-Aware Prefix Encoder for Personalized Dialogue Response Generation
Endowing chatbots with a consistent persona is essential to an engaging ...
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05/24/2023
Identifying Informational Sources in News Articles
News articles are driven by the informational sources journalists use in...
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05/23/2023
Continual Dialogue State Tracking via Example-Guided Question Answering
Dialogue systems are frequently updated to accommodate new services, but...
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05/18/2023
Analyzing Norm Violations in Live-Stream Chat
Toxic language, such as hate speech, can deter users from participating ...
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05/16/2023
CPL-NoViD: Context-Aware Prompt-based Learning for Norm Violation Detection in Online Communities
Detecting norm violations in online communities is critical to maintaini...
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12/01/2022
Anger Breeds Controversy: Analyzing Controversy and Emotions on Reddit
Emotions play an important role in interpersonal interactions and social...
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10/11/2022
Checks and Strategies for Enabling Code-Switched Machine Translation
Code-switching is a common phenomenon among multilingual speakers, where...
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09/21/2022
Mega: Moving Average Equipped Gated Attention
The design choices in the Transformer attention mechanism, including wea...
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06/23/2022
Towards WinoQueer: Developing a Benchmark for Anti-Queer Bias in Large Language Models
This paper presents exploratory work on whether and to what extent biase...
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06/14/2022
NewsEdits: A News Article Revision Dataset and a Document-Level Reasoning Challenge
News article revision histories provide clues to narrative and factual e...
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05/25/2022
Segmenting Numerical Substitution Ciphers
Deciphering historical substitution ciphers is a challenging problem. Ex...
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05/25/2022
Machine Translation Robustness to Natural Asemantic Variation
We introduce and formalize an under-studied linguistic phenomenon we cal...
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05/25/2022
Know Where You're Going: Meta-Learning for Parameter-Efficient Fine-tuning
A recent family of techniques, dubbed as lightweight fine-tuning methods...
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05/23/2022
Cross-lingual Lifelong Learning
The longstanding goal of multi-lingual learning has been to develop a un...
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04/30/2022
Opponent Modeling in Negotiation Dialogues by Related Data Adaptation
Opponent modeling is the task of inferring another party's mental state ...
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12/15/2021
CheckDST: Measuring Real-World Generalization of Dialogue State Tracking Performance
Recent neural models that extend the pretrain-then-finetune paradigm con...
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11/08/2021
Explaining Face Presentation Attack Detection Using Natural Language
A large number of deep neural network based techniques have been develop...
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09/22/2021
Salience-Aware Event Chain Modeling for Narrative Understanding
Storytelling, whether via fables, news reports, documentaries, or memoir...
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08/25/2021
Viola: A Topic Agnostic Generate-and-Rank Dialogue System
We present Viola, an open-domain dialogue system for spoken conversation...
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06/03/2021
Luna: Linear Unified Nested Attention
The quadratic computational and memory complexities of the Transformer's...
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04/20/2021
StateCensusLaws.org: A Web Application for Consuming and Annotating Legal Discourse Learning
In this work, we create a web application to highlight the output of NLP...
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04/20/2021
X-METRA-ADA: Cross-lingual Meta-Transfer Learning Adaptation to Natural Language Understanding and Question Answering
Multilingual models, such as M-BERT and XLM-R, have gained increasing po...
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04/19/2021
"Don't quote me on that": Finding Mixtures of Sources in News Articles
Journalists publish statements provided by people, or sources to context...
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04/19/2021
Modeling "Newsworthiness" for Lead-Generation Across Corpora
Journalists obtain "leads", or story ideas, by reading large corpora of ...
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04/19/2021
NewsEdits: A Dataset of Revision Histories for News Articles (Technical Report: Data Processing)
News article revision histories have the potential to give us novel insi...
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04/18/2021
On the Strengths of Cross-Attention in Pretrained Transformers for Machine Translation
We study the power of cross-attention in the Transformer architecture wi...
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04/12/2021
Macro-Average: Rare Types Are Important Too
While traditional corpus-level evaluation metrics for machine translatio...
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04/01/2021
Many-to-English Machine Translation Tools, Data, and Pretrained Models
While there are more than 7000 languages in the world, most translation ...
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03/29/2021
CaSiNo: A Corpus of Campsite Negotiation Dialogues for Automatic Negotiation Systems
Automated systems that negotiate with humans have broad applications in ...
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01/02/2021
Multitask Learning for Class-Imbalanced Discourse Classification
Small class-imbalanced datasets, common in many high-level semantic task...
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01/01/2021
WARP: Word-level Adversarial ReProgramming
Transfer learning from pretrained language models recently became the do...
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12/30/2020
Can Sequence-to-Sequence Models Crack Substitution Ciphers?
Decipherment of historical ciphers is a challenging problem. The languag...
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10/19/2020
Question Generation for Supporting Informational Query Intents
Users frequently ask simple factoid questions when encountering question...
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10/05/2020
Learning to Generalize for Sequential Decision Making
We consider problems of making sequences of decisions to accomplish task...
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04/21/2020
Experience Grounds Language
Successful linguistic communication relies on a shared experience of the...
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04/20/2020
Grounding Conversations with Improvised Dialogues
Effective dialogue involves grounding, the process of establishing mutua...
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04/06/2020
Zero-Shot Learning of Text Adventure Games with Sentence-Level Semantics
Reinforcement learning algorithms such as Q-learning have shown great pr...
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04/06/2020
BERT in Negotiations: Early Prediction of Buyer-Seller Negotiation Outcomes
The task of building automatic agents that can negotiate with humans in ...
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04/05/2020
Neural Machine Translation with Imbalanced Classes
We cast neural machine translation (NMT) as a classification task in an ...
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09/14/2019
A Universal Parent Model for Low-Resource Neural Machine Translation Transfer
Transfer learning from a high-resource language pair `parent' has been p...
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09/09/2019
What Matters for Neural Cross-Lingual Named Entity Recognition: An Empirical Analysis
Building named entity recognition (NER) models for languages that do not...
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08/13/2019
Learn How to Cook a New Recipe in a New House: Using Map Familiarization, Curriculum Learning, and Common Sense to Learn Families of Text-Based Adventure Games
We consider the task of learning to play families of text-based computer...
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06/11/2019
Translating Translationese: A Two-Step Approach to Unsupervised Machine Translation
Given a rough, word-by-word gloss of a source language sentence, target ...
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05/06/2019
Comprehensible Context-driven Text Game Playing
In order to train a computer agent to play a text-based computer game, w...
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04/10/2019
A Grounded Unsupervised Universal Part-of-Speech Tagger for Low-Resource Languages
Unsupervised part of speech (POS) tagging is often framed as a clusterin...
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08/16/2018
Augmenting Statistical Machine Translation with Subword Translation of Out-of-Vocabulary Words
Most statistical machine translation systems cannot translate words that...
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11/15/2017
Recurrent Neural Networks as Weighted Language Recognizers
We investigate computational complexity of questions of various problems...
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04/08/2016