Fei Liu

Self-Attention Network for Skeleton-based Human Action Recognition

Skeleton-based action recognition has recently attracted a lot of attent...
12/18/2019 ∙ by Sangwoo Cho, et al. ∙ 11 ∙ share

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Capturing Long-range Contextual Dependencies with Memory-enhanced Conditional Random Fields

Despite successful applications across a broad range of NLP tasks, condi...
09/12/2017 ∙ by Fei Liu, et al. ∙ 0 ∙ share

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An Automatic Contextual Analysis and Clustering Classifiers Ensemble approach to Sentiment Analysis

Products reviews are one of the major resources to determine the public ...
05/29/2017 ∙ by Murtadha Talib AL-Sharuee, et al. ∙ 0 ∙ share

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A Language-independent and Compositional Model for Personality Trait Recognition from Short Texts

Many methods have been used to recognize author personality traits from ...
10/14/2016 ∙ by Fei Liu, et al. ∙ 0 ∙ share

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Gated End-to-End Memory Networks

Machine reading using differentiable reasoning models has recently shown...
10/13/2016 ∙ by Julien Perez, et al. ∙ 0 ∙ share

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Dialog state tracking, a machine reading approach using Memory Network

In an end-to-end dialog system, the aim of dialog state tracking is to a...
06/13/2016 ∙ by Julien Perez, et al. ∙ 0 ∙ share

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From Incremental Meaning to Semantic Unit (phrase by phrase)

This paper describes an experimental approach to Detection of Minimal Se...
04/17/2016 ∙ by Andreas Scherbakov, et al. ∙ 0 ∙ share

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Humans of Simulated New York (HOSNY): an exploratory comprehensive model of city life

The model presented in this paper experiments with a comprehensive simul...
03/15/2017 ∙ by Francis Tseng, et al. ∙ 0 ∙ share

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Recurrent Entity Networks with Delayed Memory Update for Targeted Aspect-based Sentiment Analysis

While neural networks have been shown to achieve impressive results for ...
04/30/2018 ∙ by Fei Liu, et al. ∙ 0 ∙ share

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Narrative Modeling with Memory Chains and Semantic Supervision

Story comprehension requires a deep semantic understanding of the narrat...
05/16/2018 ∙ by Fei Liu, et al. ∙ 0 ∙ share

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Automatic Summarization of Student Course Feedback

Student course feedback is generated daily in both classrooms and online...
05/25/2018 ∙ by Wencan Luo, et al. ∙ 0 ∙ share

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Modeling Language Vagueness in Privacy Policies using Deep Neural Networks

Website privacy policies are too long to read and difficult to understan...
05/25/2018 ∙ by Fei Liu, et al. ∙ 0 ∙ share

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Reinforced Extractive Summarization with Question-Focused Rewards

We investigate a new training paradigm for extractive summarization. Tra...
05/25/2018 ∙ by Kristjan Arumae, et al. ∙ 0 ∙ share

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Toward Extractive Summarization of Online Forum Discussions via Hierarchical Attention Networks

Forum threads are lengthy and rich in content. Concise thread summaries ...
05/25/2018 ∙ by Sansiri Tarnpradab, et al. ∙ 0 ∙ share

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A Study of Question Effectiveness Using Reddit "Ask Me Anything" Threads

Asking effective questions is a powerful social skill. In this paper we ...
05/25/2018 ∙ by Kristjan Arumae, et al. ∙ 0 ∙ share

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Toward Abstractive Summarization Using Semantic Representations

We present a novel abstractive summarization framework that draws on the...
05/25/2018 ∙ by Fei Liu, et al. ∙ 0 ∙ share

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An Improved Phrase-based Approach to Annotating and Summarizing Student Course Responses

Teaching large classes remains a great challenge, primarily because it i...
05/25/2018 ∙ by Wencan Luo, et al. ∙ 0 ∙ share

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Structure-Infused Copy Mechanisms for Abstractive Summarization

Seq2seq learning has produced promising results on summarization. Howeve...
06/14/2018 ∙ by Kaiqiang Song, et al. ∙ 0 ∙ share

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Abstract Meaning Representation for Multi-Document Summarization

Generating an abstract from a collection of documents is a desirable cap...
06/14/2018 ∙ by Kexin Liao, et al. ∙ 0 ∙ share

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A Novel ILP Framework for Summarizing Content with High Lexical Variety

Summarizing content contributed by individuals can be challenging, becau...
07/25/2018 ∙ by Wencan Luo, et al. ∙ 0 ∙ share

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Adapting the Neural Encoder-Decoder Framework from Single to Multi-Document Summarization

Generating an abstract from a set of relevant documents remains challeng...
08/19/2018 ∙ by Logan Lebanoff, et al. ∙ 0 ∙ share

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Automatic Detection of Vague Words and Sentences in Privacy Policies

Website privacy policies represent the single most important source of i...
08/19/2018 ∙ by Logan Lebanoff, et al. ∙ 0 ∙ share

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Evaluating the Utility of Hand-crafted Features in Sequence Labelling

Conventional wisdom is that hand-crafted features are redundant for deep...
08/28/2018 ∙ by Minghao Wu, et al. ∙ 0 ∙ share

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The Referential Reader: A Recurrent Entity Network for Anaphora Resolution

We present a new architecture for storing and accessing entity mentions ...
02/05/2019 ∙ by Fei Liu, et al. ∙ 0 ∙ share

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Guiding Extractive Summarization with Question-Answering Rewards

Highlighting while reading is a natural behavior for people to track sal...
04/04/2019 ∙ by Kristjan Arumae, et al. ∙ 0 ∙ share

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Scoring Sentence Singletons and Pairs for Abstractive Summarization

When writing a summary, humans tend to choose content from one or two se...
05/31/2019 ∙ by Logan Lebanoff, et al. ∙ 0 ∙ share

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Improving the Similarity Measure of Determinantal Point Processes for Extractive Multi-Document Summarization

The most important obstacles facing multi-document summarization include...
05/31/2019 ∙ by Sangwoo Cho, et al. ∙ 0 ∙ share

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MoverScore: Text Generation Evaluating with Contextualized Embeddings and Earth Mover Distance

A robust evaluation metric has a profound impact on the development of t...
09/05/2019 ∙ by Wei Zhao, et al. ∙ 0 ∙ share

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Analyzing Sentence Fusion in Abstractive Summarization

While recent work in abstractive summarization has resulted in higher sc...
10/01/2019 ∙ by Logan Lebanoff, et al. ∙ 0 ∙ share

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Towards Annotating and Creating Sub-Sentence Summary Highlights

Highlighting is a powerful tool to pick out important content and emphas...
10/17/2019 ∙ by Kristjan Arumae, et al. ∙ 0 ∙ share

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Multi-Document Summarization with Determinantal Point Processes and Contextualized Representations

Emerged as one of the best performing techniques for extractive summariz...
10/24/2019 ∙ by Sangwoo Cho, et al. ∙ 0 ∙ share

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Controlling the Amount of Verbatim Copying in Abstractive Summarization

An abstract must not change the meaning of the original text. A single m...
11/23/2019 ∙ by Kaiqiang Song, et al. ∙ 0 ∙ share

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Joint Parsing and Generation for Abstractive Summarization

Sentences produced by abstractive summarization systems can be ungrammat...
11/23/2019 ∙ by Kaiqiang Song, et al. ∙ 0 ∙ share

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Fei Liu

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