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06/08/2023
Two Heads Are Better Than One: Improving Fake News Video Detection by Correlating with Neighbors
The prevalence of short video platforms has spawned a lot of fake news v...
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02/07/2023
Combating Online Misinformation Videos: Characterization, Detection, and Future Directions
With information consumption via online video streaming becoming increas...
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12/19/2022
Tokenization Consistency Matters for Generative Models on Extractive NLP Tasks
Generative models have been widely applied to solve extractive tasks, wh...
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11/20/2022
FakeSV: A Multimodal Benchmark with Rich Social Context for Fake News Detection on Short Video Platforms
Short video platforms have become an important channel for news sharing,...
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10/13/2022
How (Not) To Evaluate Explanation Quality
The importance of explainability is increasingly acknowledged in natural...
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10/12/2022
Language Agnostic Multilingual Information Retrieval with Contrastive Learning
Multilingual information retrieval is challenging due to the lack of tra...
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08/03/2022
SpanDrop: Simple and Effective Counterfactual Learning for Long Sequences
Distilling supervision signal from a long sequence to make predictions i...
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07/25/2022
Neural Generation Meets Real People: Building a Social, Informative Open-Domain Dialogue Agent
We present Chirpy Cardinal, an open-domain social chatbot. Aiming to be ...
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03/01/2022
Improving Time Sensitivity for Question Answering over Temporal Knowledge Graphs
Question answering over temporal knowledge graphs (KGs) efficiently uses...
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10/04/2021
Trustworthy AI: From Principles to Practices
Fast developing artificial intelligence (AI) technology has enabled vari...
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05/13/2021
Conversational AI Systems for Social Good: Opportunities and Challenges
Conversational artificial intelligence (ConvAI) systems have attracted m...
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03/12/2021
Graph Ensemble Learning over Multiple Dependency Trees for Aspect-level Sentiment Classification
Recent work on aspect-level sentiment classification has demonstrated th...
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10/23/2020
Retrieve, Rerank, Read, then Iterate: Answering Open-Domain Questions of Arbitrary Complexity from Text
Current approaches to open-domain question answering often make crucial ...
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08/27/2020
Neural Generation Meets Real People: Towards Emotionally Engaging Mixed-Initiative Conversations
We present Chirpy Cardinal, an open-domain dialogue agent, as a research...
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08/20/2020
Do Syntax Trees Help Pre-trained Transformers Extract Information?
Much recent work suggests that incorporating syntax information from dep...
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07/29/2020
Biomedical and Clinical English Model Packages in the Stanza Python NLP Library
We introduce biomedical and clinical English model packages for the Stan...
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04/30/2020
Stay Hungry, Stay Focused: Generating Informative and Specific Questions in Information-Seeking Conversations
We investigate the problem of generating informative questions in inform...
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03/16/2020
Stanza: A Python Natural Language Processing Toolkit for Many Human Languages
We introduce Stanza, an open-source Python natural language processing t...
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03/11/2020
Exploring the Role of Visual Content in Fake News Detection
The increasing popularity of social media promotes the proliferation of ...
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10/15/2019
Answering Complex Open-domain Questions Through Iterative Query Generation
It is challenging for current one-step retrieve-and-read question answer...
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08/28/2019
False News Detection on Social Media
Social media has become a major information platform where people consum...
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08/13/2019
Exploiting Multi-domain Visual Information for Fake News Detection
The increasing popularity of social media promotes the proliferation of ...
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01/29/2019
Universal Dependency Parsing from Scratch
This paper describes Stanford's system at the CoNLL 2018 UD Shared Task....
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09/26/2018
Graph Convolution over Pruned Dependency Trees Improves Relation Extraction
Dependency trees help relation extraction models capture long-range rela...
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09/25/2018
HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering
Existing question answering (QA) datasets fail to train QA systems to pe...
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05/12/2018
Sharp Nearby, Fuzzy Far Away: How Neural Language Models Use Context
We know very little about how neural language models (LM) use prior ling...
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05/12/2017
Arc-swift: A Novel Transition System for Dependency Parsing
Transition-based dependency parsers often need sequences of local shift ...
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06/30/2014
