Chengxiang Zhai

research

∙ 06/27/2023

C-PMI: Conditional Pointwise Mutual Information for Turn-level Dialogue Evaluation

Existing reference-free turn-level evaluation metrics for chatbots inade...

0 Liliang Ren, et al. ∙

research

∙ 06/14/2023

User Simulation for Evaluating Information Access Systems

Information access systems, such as search engines, recommender systems,...

0 Krisztian Balog, et al. ∙

research

∙ 05/25/2023

Measuring the Effect of Influential Messages on Varying Personas

Predicting how a user responds to news events enables important applicat...

0 Chenkai Sun, et al. ∙

research

∙ 04/06/2023

Noise-Robust Dense Retrieval via Contrastive Alignment Post Training

The success of contextual word representations and advances in neural in...

0 Daniel Campos, et al. ∙

research

∙ 04/05/2023

To Asymmetry and Beyond: Structured Pruning of Sequence to Sequence Models for Improved Inference Efficiency

Sequence-to-sequence language models can be used to produce abstractive ...

0 Daniel Campos, et al. ∙

research

∙ 03/31/2023

Dense Sparse Retrieval: Using Sparse Language Models for Inference Efficient Dense Retrieval

Vector-based retrieval systems have become a common staple for academic ...

0 Daniel Campos, et al. ∙

research

∙ 03/31/2023

Quick Dense Retrievers Consume KALE: Post Training Kullback Leibler Alignment of Embeddings for Asymmetrical dual encoders

In this paper, we consider the problem of improving the inference latenc...

0 Daniel Campos, et al. ∙

research

∙ 03/30/2023

oBERTa: Improving Sparse Transfer Learning via improved initialization, distillation, and pruning regimes

In this paper, we introduce the range of oBERTa language models, an easy...

0 Daniel Campos, et al. ∙

research

∙ 03/01/2023

Competence-Based Analysis of Language Models

Despite the recent success of large pretrained language models (LMs) on ...

0 Adam Davies, et al. ∙

research

∙ 02/11/2023

Learning by Applying: A General Framework for Mathematical Reasoning via Enhancing Explicit Knowledge Learning

Mathematical reasoning is one of the crucial abilities of general artifi...

0 Jiayu Liu, et al. ∙

research

∙ 12/05/2022

Entity Set Co-Expansion in StackOverflow

Given a few seed entities of a certain type (e.g., Software or Programmi...

0 Yu Zhang, et al. ∙

research

∙ 11/15/2022

When to Use What: An In-Depth Comparative Empirical Analysis of OpenIE Systems for Downstream Applications

Open Information Extraction (OpenIE) has been used in the pipelines of v...

0 Kevin Pei, et al. ∙

research

∙ 10/23/2022

Language Model Pre-Training with Sparse Latent Typing

Modern large-scale Pre-trained Language Models (PLMs) have achieved trem...

0 Liliang Ren, et al. ∙

research

∙ 10/09/2022

Analogy Generation by Prompting Large Language Models: A Case Study of InstructGPT

We propose a novel application of prompting Pre-trained Language Models ...

0 Bhavya Bhavya, et al. ∙

research

∙ 09/05/2022

CONCRETE: Improving Cross-lingual Fact-checking with Cross-lingual Retrieval

Fact-checking has gained increasing attention due to the widespread of f...

0 Kung-Hsiang Huang, et al. ∙

research

∙ 08/31/2022

Incorporating Task-specific Concept Knowledge into Script Learning

In this paper, we present Tetris, a new task of Goal-Oriented Script Com...

0 Chenkai Sun, et al. ∙

research

∙ 05/25/2022

Sparse*BERT: Sparse Models are Robust

Large Language Models have become the core architecture upon which most ...

0 Daniel Campos, et al. ∙

research

∙ 03/19/2022

Domain Representative Keywords Selection: A Probabilistic Approach

We propose a probabilistic approach to select a subset of a target domai...

0 Pritom Saha Akash, et al. ∙

research

∙ 02/27/2022

Improving Candidate Retrieval with Entity Profile Generation for Wikidata Entity Linking

Entity linking (EL) is the task of linking entity mentions in a document...

0 Tuan Manh Lai, et al. ∙

research

∙ 09/06/2021

BERT might be Overkill: A Tiny but Effective Biomedical Entity Linker based on Residual Convolutional Neural Networks

Biomedical entity linking is the task of linking entity mentions in a bi...

0 Tuan Lai, et al. ∙

research

∙ 08/29/2021

Fine-Grained Chemical Entity Typing with Multimodal Knowledge Representation

Automated knowledge discovery from trending chemical literature is essen...

0 Chenkai Sun, et al. ∙

research

∙ 05/27/2021

Joint Biomedical Entity and Relation Extraction with Knowledge-Enhanced Collective Inference

Compared to the general news domain, information extraction (IE) from bi...

0 Tuan Lai, et al. ∙

research

∙ 05/13/2021

DeepQAMVS: Query-Aware Hierarchical Pointer Networks for Multi-Video Summarization

The recent growth of web video sharing platforms has increased the deman...

7 Safa Messaoud, et al. ∙

research

∙ 11/05/2020

Towards Dark Jargon Interpretation in Underground Forums

Dark jargons are benign-looking words that have hidden, sinister meaning...

0 Dominic Seyler, et al. ∙

research

∙ 10/21/2020

A Level-wise Taxonomic Perspective on Automated Machine Learning to Date and Beyond: Challenges and Opportunities

Automated machine learning (AutoML) is essentially automating the proces...

0 Shubhra Kanti Karmaker Santu, et al. ∙

research

∙ 10/17/2020

Drink bleach or do what now? Covid-HeRA: A dataset for risk-informed health decision making in the presence of COVID19 misinformation

Given the wide spread of inaccurate medical advice related to the 2019 c...

0 Arkin Dharawat, et al. ∙

research

∙ 10/06/2020

Multi-task Learning for Multilingual Neural Machine Translation

While monolingual data has been shown to be useful in improving bilingua...

0 Yiren Wang, et al. ∙

research

∙ 02/20/2020

Towards a Soft Faceted Browsing Scheme for Information Access

Faceted browsing is a commonly supported feature of user interfaces for ...

0 Yinan Zhang, et al. ∙

research

∙ 12/04/2019

Cooperative Reasoning on Knowledge Graph and Corpus: A Multi-agentReinforcement Learning Approach

Knowledge-graph-based reasoning has drawn a lot of attention due to its ...

0 Yunan Zhang, et al. ∙

research

∙ 11/22/2019

Improving N-gram Language Models with Pre-trained Deep Transformer

Although n-gram language models (LMs) have been outperformed by the stat...

0 Yiren Wang, et al. ∙

research

∙ 11/11/2019

Learning to Order Sub-questions for Complex Question Answering

Answering complex questions involving multiple entities and relations is...

0 Yunan Zhang, et al. ∙

research

∙ 04/12/2019

Adapting Sequence to Sequence models for Text Normalization in Social Media

Social media offer an abundant source of valuable raw data, however info...

0 Ismini Lourentzou, et al. ∙

research

∙ 03/01/2019

JIM: Joint Influence Modeling for Collective Search Behavior

Previous work has shown that popular trending events are important exter...

0 Shubhra Kanti Karmaker Santu, et al. ∙

research

∙ 03/01/2019

On Application of Learning to Rank for E-Commerce Search

E-Commerce (E-Com) search is an emerging important new application of in...

0 Shubhra Kanti Karmaker Santu, et al. ∙

research

∙ 02/22/2019

Non-Autoregressive Machine Translation with Auxiliary Regularization

As a new neural machine translation approach, Non-Autoregressive machine...

0 Yiren Wang, et al. ∙

research

∙ 05/15/2018

Modeling Diverse Relevance Patterns in Ad-hoc Retrieval

Assessing relevance between a query and a document is challenging in ad-...

0 Yixing Fan, et al. ∙

research

∙ 04/19/2018

Identifying Compromised Accounts on Social Media Using Statistical Text Analysis

Compromised social media accounts are legitimate user accounts that have...

0 Dominic Seyler, et al. ∙

research

∙ 10/31/2016

Numerical Facet Range Partition: Evaluation Metric and Methods

Faceted navigation is a very useful component in today's search engines....

0 Xueqing Liu, et al. ∙

Chengxiang Zhai

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