Search Results for author: Ben Zhou

Found 26 papers, 12 papers with code

End-to-End Chinese Speaker Identification

1 code implementation NAACL 2022 Dian Yu, Ben Zhou, Dong Yu

End-to-end SI systems, on the other hand, are not limited by individual modules, but suffer from insufficient training data from the existing small-scale datasets.

coreference-resolution Machine Reading Comprehension +4

New Frontiers of Information Extraction

no code implementations NAACL (ACL) 2022 Muhao Chen, Lifu Huang, Manling Li, Ben Zhou, Heng Ji, Dan Roth

This tutorial targets researchers and practitioners who are interested in AI and ML technologies for structural information extraction (IE) from unstructured textual sources.

There’s a Time and Place for Reasoning Beyond the Image

1 code implementation ACL 2022 Xingyu Fu, Ben Zhou, Ishaan Chandratreya, Carl Vondrick, Dan Roth

Images are often more significant than only the pixels to human eyes, as we can infer, associate, and reason with contextual information from other sources to establish a more complete picture.

Image Clustering

A Meta-framework for Spatiotemporal Quantity Extraction from Text

no code implementations ACL 2022 Qiang Ning, Ben Zhou, Hao Wu, Haoruo Peng, Chuchu Fan, Matt Gardner

News events are often associated with quantities (e. g., the number of COVID-19 patients or the number of arrests in a protest), and it is often important to extract their type, time, and location from unstructured text in order to analyze these quantity events.

Cognitive Overload: Jailbreaking Large Language Models with Overloaded Logical Thinking

no code implementations16 Nov 2023 Nan Xu, Fei Wang, Ben Zhou, Bang Zheng Li, Chaowei Xiao, Muhao Chen

While large language models (LLMs) have demonstrated increasing power, they have also given rise to a wide range of harmful behaviors.

Deceiving Semantic Shortcuts on Reasoning Chains: How Far Can Models Go without Hallucination?

no code implementations16 Nov 2023 Bangzheng Li, Ben Zhou, Fei Wang, Xingyu Fu, Dan Roth, Muhao Chen

During the construction of the evidence, we purposefully replace semantic clues (entities) that may lead to the correct answer with distractor clues (evidence) that will not directly lead to the correct answer but require a chain-like reasoning process.

Sub-Sentence Encoder: Contrastive Learning of Propositional Semantic Representations

1 code implementation7 Nov 2023 Sihao Chen, Hongming Zhang, Tong Chen, Ben Zhou, Wenhao Yu, Dian Yu, Baolin Peng, Hongwei Wang, Dan Roth, Dong Yu

We introduce sub-sentence encoder, a contrastively-learned contextual embedding model for fine-grained semantic representation of text.

Contrastive Learning Semantic Similarity +2

Building Interpretable and Reliable Open Information Retriever for New Domains Overnight

no code implementations9 Aug 2023 Xiaodong Yu, Ben Zhou, Dan Roth

Information retrieval (IR) or knowledge retrieval, is a critical component for many down-stream tasks such as open-domain question answering (QA).

Information Retrieval Open-Domain Question Answering +3

Interpretable by Design Visual Question Answering

no code implementations24 May 2023 Xingyu Fu, Ben Zhou, Sihao Chen, Mark Yatskar, Dan Roth

Model interpretability has long been a hard problem for the AI community especially in the multimodal setting, where vision and language need to be aligned and reasoned at the same time.

Question Answering Visual Question Answering

Generic Temporal Reasoning with Differential Analysis and Explanation

no code implementations20 Dec 2022 Yu Feng, Ben Zhou, Haoyu Wang, Helen Jin, Dan Roth

Temporal reasoning is the task of predicting temporal relations of event pairs.

Learning to Decompose: Hypothetical Question Decomposition Based on Comparable Texts

no code implementations30 Oct 2022 Ben Zhou, Kyle Richardson, Xiaodong Yu, Dan Roth

Explicit decomposition modeling, which involves breaking down complex tasks into more straightforward and often more interpretable sub-tasks, has long been a central theme in developing robust and interpretable NLU systems.

Language Modelling Semantic Parsing +1

Cross-Lingual Speaker Identification Using Distant Supervision

1 code implementation11 Oct 2022 Ben Zhou, Dian Yu, Dong Yu, Dan Roth

Speaker identification, determining which character said each utterance in literary text, benefits many downstream tasks.

Language Modelling Speaker Identification

There is a Time and Place for Reasoning Beyond the Image

1 code implementation1 Mar 2022 Xingyu Fu, Ben Zhou, Ishaan Preetam Chandratreya, Carl Vondrick, Dan Roth

For example, in Figure 1, we can find a way to identify the news articles related to the picture through segment-wise understandings of the signs, the buildings, the crowds, and more.

Image Clustering World Knowledge

RESIN: A Dockerized Schema-Guided Cross-document Cross-lingual Cross-media Information Extraction and Event Tracking System

1 code implementation NAACL 2021 Haoyang Wen, Ying Lin, Tuan Lai, Xiaoman Pan, Sha Li, Xudong Lin, Ben Zhou, Manling Li, Haoyu Wang, Hongming Zhang, Xiaodong Yu, Alexander Dong, Zhenhailong Wang, Yi Fung, Piyush Mishra, Qing Lyu, D{\'\i}dac Sur{\'\i}s, Brian Chen, Susan Windisch Brown, Martha Palmer, Chris Callison-Burch, Carl Vondrick, Jiawei Han, Dan Roth, Shih-Fu Chang, Heng Ji

We present a new information extraction system that can automatically construct temporal event graphs from a collection of news documents from multiple sources, multiple languages (English and Spanish for our experiment), and multiple data modalities (speech, text, image and video).

coreference-resolution Event Extraction

Temporal Reasoning on Implicit Events from Distant Supervision

no code implementations NAACL 2021 Ben Zhou, Kyle Richardson, Qiang Ning, Tushar Khot, Ashish Sabharwal, Dan Roth

We propose TRACIE, a novel temporal reasoning dataset that evaluates the degree to which systems understand implicit events -- events that are not mentioned explicitly in natural language text but can be inferred from it.

Natural Language Inference

Evaluating NLP Models via Contrast Sets

no code implementations1 Oct 2020 Matt Gardner, Yoav Artzi, Victoria Basmova, Jonathan Berant, Ben Bogin, Sihao Chen, Pradeep Dasigi, Dheeru Dua, Yanai Elazar, Ananth Gottumukkala, Nitish Gupta, Hanna Hajishirzi, Gabriel Ilharco, Daniel Khashabi, Kevin Lin, Jiangming Liu, Nelson F. Liu, Phoebe Mulcaire, Qiang Ning, Sameer Singh, Noah A. Smith, Sanjay Subramanian, Reut Tsarfaty, Eric Wallace, A. Zhang, Ben Zhou

Unfortunately, when a dataset has systematic gaps (e. g., annotation artifacts), these evaluations are misleading: a model can learn simple decision rules that perform well on the test set but do not capture a dataset's intended capabilities.

Reading Comprehension Sentiment Analysis +1

Cross-lingual Entity Alignment with Incidental Supervision

1 code implementation EACL 2021 Muhao Chen, Weijia Shi, Ben Zhou, Dan Roth

Much research effort has been put to multilingual knowledge graph (KG) embedding methods to address the entity alignment task, which seeks to match entities in different languagespecific KGs that refer to the same real-world object.

Entity Alignment Knowledge Graphs

Zero-Shot Open Entity Typing as Type-Compatible Grounding

1 code implementation EMNLP 2018 Ben Zhou, Daniel Khashabi, Chen-Tse Tsai, Dan Roth

We evaluate our system on a broad range of datasets, including standard fine-grained and coarse-grained entity typing datasets, and also a dataset in the biological domain.

Entity Typing NER +1

CogCompTime: A Tool for Understanding Time in Natural Language Text

no code implementations12 Jun 2019 Qiang Ning, Ben Zhou, Zhili Feng, Haoruo Peng, Dan Roth

Automatic extraction of temporal information in text is an important component of natural language understanding.

Natural Language Understanding

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