Search Results for author: Kevin Knight

Found 80 papers, 15 papers with code

Two Approaches to Building Collaborative, Task-Oriented Dialog Agents through Self-Play

no code implementations20 Sep 2021 Arkady Arkhangorodsky, Scot Fang, Victoria Knight, Ajay Nagesh, Maria Ryskina, Kevin Knight

Task-oriented dialog systems are often trained on human/human dialogs, such as collected from Wizard-of-Oz interfaces.

Learning Mathematical Properties of Integers

2 code implementations15 Sep 2021 Maria Ryskina, Kevin Knight

Embedding words in high-dimensional vector spaces has proven valuable in many natural language applications.

A Hybrid Task-Oriented Dialog System with Domain and Task Adaptive Pretraining

1 code implementation8 Feb 2021 Boliang Zhang, Ying Lyu, Ning Ding, Tianhao Shen, Zhaoyang Jia, Kun Han, Kevin Knight

This paper describes our submission for the End-to-end Multi-domain Task Completion Dialog shared task at the 9th Dialog System Technology Challenge (DSTC-9).

Natural Language Understanding Text Generation

Why Neural Machine Translation Prefers Empty Outputs

no code implementations24 Dec 2020 Xing Shi, Yijun Xiao, Kevin Knight

Using different EoS types in target sentences of different lengths exposes and eliminates this implicit smoothing.

Machine Translation

MUSE: Textual Attributes Guided Portrait Painting Generation

1 code implementation9 Nov 2020 Xiaodan Hu, Pengfei Yu, Kevin Knight, Heng Ji, Bo Li, Honghui Shi

Experiments show that our approach can accurately illustrate 78% textual attributes, which also help MUSE capture the subject in a more creative and expressive way.

ReviewRobot: Explainable Paper Review Generation based on Knowledge Synthesis

1 code implementation13 Oct 2020 Qingyun Wang, Qi Zeng, Lifu Huang, Kevin Knight, Heng Ji, Nazneen Fatema Rajani

To assist human review process, we build a novel ReviewRobot to automatically assign a review score and write comments for multiple categories such as novelty and meaningful comparison.

Review Generation

Learning to Pronounce Chinese Without a Pronunciation Dictionary

no code implementations EMNLP 2020 Christopher Chu, Scot Fang, Kevin Knight

We demonstrate a program that learns to pronounce Chinese text in Mandarin, without a pronunciation dictionary.

Solving Historical Dictionary Codes with a Neural Language Model

no code implementations EMNLP 2020 Christopher Chu, Raphael Valenti, Kevin Knight

We solve difficult word-based substitution codes by constructing a decoding lattice and searching that lattice with a neural language model.

Language Modelling

MEEP: An Open-Source Platform for Human-Human Dialog Collection and End-to-End Agent Training

1 code implementation9 Oct 2020 Arkady Arkhangorodsky, Amittai Axelrod, Christopher Chu, Scot Fang, Yiqi Huang, Ajay Nagesh, Xing Shi, Boliang Zhang, Kevin Knight

We create a new task-oriented dialog platform (MEEP) where agents are given considerable freedom in terms of utterances and API calls, but are constrained to work within a push-button environment.

FINDINGS OF THE IWSLT 2020 EVALUATION CAMPAIGN

no code implementations WS 2020 Ebrahim Ansari, Amittai Axelrod, Nguyen Bach, Ond{\v{r}}ej Bojar, Roldano Cattoni, Fahim Dalvi, Nadir Durrani, Marcello Federico, Christian Federmann, Jiatao Gu, Fei Huang, Kevin Knight, Xutai Ma, Ajay Nagesh, Matteo Negri, Jan Niehues, Juan Pino, Elizabeth Salesky, Xing Shi, Sebastian St{\"u}ker, Marco Turchi, Alex Waibel, er, Changhan Wang

The evaluation campaign of the International Conference on Spoken Language Translation (IWSLT 2020) featured this year six challenge tracks: (i) Simultaneous speech translation, (ii) Video speech translation, (iii) Offline speech translation, (iv) Conversational speech translation, (v) Open domain translation, and (vi) Non-native speech translation.

Translating Translationese: A Two-Step Approach to Unsupervised Machine Translation

no code implementations ACL 2019 Nima Pourdamghani, Nada Aldarrab, Marjan Ghazvininejad, Kevin Knight, Jonathan May

Given a rough, word-by-word gloss of a source language sentence, target language natives can uncover the latent, fully-fluent rendering of the translation.

Unsupervised Machine Translation

PaperRobot: Incremental Draft Generation of Scientific Ideas

2 code implementations ACL 2019 Qingyun Wang, Lifu Huang, Zhiying Jiang, Kevin Knight, Heng Ji, Mohit Bansal, Yi Luan

We present a PaperRobot who performs as an automatic research assistant by (1) conducting deep understanding of a large collection of human-written papers in a target domain and constructing comprehensive background knowledge graphs (KGs); (2) creating new ideas by predicting links from the background KGs, by combining graph attention and contextual text attention; (3) incrementally writing some key elements of a new paper based on memory-attention networks: from the input title along with predicted related entities to generate a paper abstract, from the abstract to generate conclusion and future work, and finally from future work to generate a title for a follow-on paper.

Graph Attention Knowledge Graphs +4

Plan-And-Write: Towards Better Automatic Storytelling

1 code implementation14 Nov 2018 Lili Yao, Nanyun Peng, Ralph Weischedel, Kevin Knight, Dongyan Zhao, Rui Yan

Automatic storytelling is challenging since it requires generating long, coherent natural language to describes a sensible sequence of events.

Story Generation

Decipherment of Historical Manuscript Images

1 code implementation9 Oct 2018 Xusen Yin, Nada Aldarrab, Beáta Megyesi, Kevin Knight

European libraries and archives are filled with enciphered manuscripts from the early modern period.

Decipherment Image Clustering

Creative Language Encoding under Censorship

no code implementations COLING 2018 Heng Ji, Kevin Knight

People often create obfuscated language for online communication to avoid Internet censorship, share sensitive information, express strong sentiment or emotion, plan for secret actions, trade illegal products, or simply hold interesting conversations.

Translating a Language You Don't Know In the Chinese Room

no code implementations ACL 2018 Ulf Hermjakob, Jonathan May, Michael Pust, Kevin Knight

In a corruption of John Searle{'}s famous AI thought experiment, the Chinese Room (Searle, 1980), we twist its original intent by enabling humans to translate text, e. g. from Uyghur to English, even if they don{'}t have any prior knowledge of the source language.

Domain Adaptation Language Modelling +1

Out-of-the-box Universal Romanization Tool uroman

no code implementations ACL 2018 Ulf Hermjakob, Jonathan May, Kevin Knight

We present uroman, a tool for converting text in myriads of languages and scripts such as Chinese, Arabic and Cyrillic into a common Latin-script representation.

Machine Translation

Fast Locality Sensitive Hashing for Beam Search on GPU

no code implementations2 Jun 2018 Xing Shi, Shizhen Xu, Kevin Knight

We present a GPU-based Locality Sensitive Hashing (LSH) algorithm to speed up beam search for sequence models.

Machine Translation

Towards Controllable Story Generation

no code implementations WS 2018 Nanyun Peng, Marjan Ghazvininejad, Jonathan May, Kevin Knight

We present a general framework of analyzing existing story corpora to generate controllable and creative new stories.

Story Generation

ELISA-EDL: A Cross-lingual Entity Extraction, Linking and Localization System

no code implementations NAACL 2018 Boliang Zhang, Ying Lin, Xiaoman Pan, Di Lu, Jonathan May, Kevin Knight, Heng Ji

We demonstrate ELISA-EDL, a state-of-the-art re-trainable system to extract entity mentions from low-resource languages, link them to external English knowledge bases, and visualize locations related to disaster topics on a world heatmap.

Entity Extraction using GAN Entity Linking +1

Modeling Naive Psychology of Characters in Simple Commonsense Stories

no code implementations ACL 2018 Hannah Rashkin, Antoine Bosselut, Maarten Sap, Kevin Knight, Yejin Choi

Understanding a narrative requires reading between the lines and reasoning about the unspoken but obvious implications about events and people's mental states - a capability that is trivial for humans but remarkably hard for machines.

Emotion Classification

Paper Abstract Writing through Editing Mechanism

2 code implementations ACL 2018 Qingyun Wang, Zhi-Hao Zhou, Lifu Huang, Spencer Whitehead, Boliang Zhang, Heng Ji, Kevin Knight

We present a paper abstract writing system based on an attentive neural sequence-to-sequence model that can take a title as input and automatically generate an abstract.

Paper generation

Multi-lingual Common Semantic Space Construction via Cluster-consistent Word Embedding

no code implementations EMNLP 2018 Lifu Huang, Kyunghyun Cho, Boliang Zhang, Heng Ji, Kevin Knight

We construct a multilingual common semantic space based on distributional semantics, where words from multiple languages are projected into a shared space to enable knowledge and resource transfer across languages.

Word Alignment

Learning from Past Mistakes: Improving Automatic Speech Recognition Output via Noisy-Clean Phrase Context Modeling

1 code implementation7 Feb 2018 Prashanth Gurunath Shivakumar, Haoqi Li, Kevin Knight, Panayiotis Georgiou

In this work we model ASR as a phrase-based noisy transformation channel and propose an error correction system that can learn from the aggregate errors of all the independent modules constituting the ASR and attempt to invert those.

automatic-speech-recognition Language Modelling +1

Recurrent Neural Networks as Weighted Language Recognizers

no code implementations NAACL 2018 Yining Chen, Sorcha Gilroy, Andreas Maletti, Jonathan May, Kevin Knight

We investigate the computational complexity of various problems for simple recurrent neural networks (RNNs) as formal models for recognizing weighted languages.

Embracing Non-Traditional Linguistic Resources for Low-resource Language Name Tagging

no code implementations IJCNLP 2017 Boliang Zhang, Di Lu, Xiaoman Pan, Ying Lin, Halidanmu Abudukelimu, Heng Ji, Kevin Knight

Current supervised name tagging approaches are inadequate for most low-resource languages due to the lack of annotated data and actionable linguistic knowledge.

Relation Classification Word Embeddings

Biomedical Event Extraction using Abstract Meaning Representation

no code implementations WS 2017 Sudha Rao, Daniel Marcu, Kevin Knight, Hal Daum{\'e} III

We propose a novel, Abstract Meaning Representation (AMR) based approach to identifying molecular events/interactions in biomedical text.

Event Extraction

Cross-lingual Name Tagging and Linking for 282 Languages

no code implementations ACL 2017 Xiaoman Pan, Boliang Zhang, Jonathan May, Joel Nothman, Kevin Knight, Heng Ji

The ambitious goal of this work is to develop a cross-lingual name tagging and linking framework for 282 languages that exist in Wikipedia.

Speeding Up Neural Machine Translation Decoding by Shrinking Run-time Vocabulary

no code implementations ACL 2017 Xing Shi, Kevin Knight

Compared with Locality Sensitive Hashing (LSH), decoding with word alignments is GPU-friendly, orthogonal to existing speedup methods and more robust across language pairs.

Machine Translation

Unsupervised Neural Hidden Markov Models

2 code implementations WS 2016 Ke Tran, Yonatan Bisk, Ashish Vaswani, Daniel Marcu, Kevin Knight

In this work, we present the first results for neuralizing an Unsupervised Hidden Markov Model.

Extracting Structured Scholarly Information from the Machine Translation Literature

no code implementations LREC 2016 Eunsol Choi, Matic Horvat, Jonathan May, Kevin Knight, Daniel Marcu

Understanding the experimental results of a scientific paper is crucial to understanding its contribution and to comparing it with related work.

Machine Translation Reading Comprehension

Transfer Learning for Low-Resource Neural Machine Translation

1 code implementation EMNLP 2016 Barret Zoph, Deniz Yuret, Jonathan May, Kevin Knight

Ensembling and unknown word replacement add another 2 Bleu which brings the NMT performance on low-resource machine translation close to a strong syntax based machine translation (SBMT) system, exceeding its performance on one language pair.

Low-Resource Neural Machine Translation Transfer Learning

Multi-Source Neural Translation

1 code implementation NAACL 2016 Barret Zoph, Kevin Knight

We build a multi-source machine translation model and train it to maximize the probability of a target English string given French and German sources.

Machine Translation

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