Search Results for author: Boliang Zhang

Found 19 papers, 5 papers with code

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

Global Attention for Name Tagging

no code implementations CONLL 2018 Boliang Zhang, Spencer Whitehead, Lifu Huang, Heng Ji

Many name tagging approaches use local contextual information with much success, but fail when the local context is ambiguous or limited.

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.

Genre Separation Network with Adversarial Training for Cross-genre Relation Extraction

no code implementations EMNLP 2018 Ge Shi, Chong Feng, Lifu Huang, Boliang Zhang, Heng Ji, Lejian Liao, He-Yan Huang

Relation Extraction suffers from dramatical performance decrease when training a model on one genre and directly applying it to a new genre, due to the distinct feature distributions.

Feature Engineering Relation Extraction +1

Platforms for Non-speakers Annotating Names in Any Language

no code implementations ACL 2018 Ying Lin, Cash Costello, Boliang Zhang, Di Lu, Heng Ji, James Mayfield, Paul McNamee

We demonstrate two annotation platforms that allow an English speaker to annotate names for any language without knowing the language.

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

Chengyu Cloze Test

1 code implementation WS 2018 Zhiying Jiang, Boliang Zhang, Lifu Huang, Heng Ji

We present a neural recommendation model for Chengyu, which is a special type of Chinese idiom.

Cloze Test

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

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

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.

Translation Word Translation

Bitext Name Tagging for Cross-lingual Entity Annotation Projection

no code implementations COLING 2016 Dongxu Zhang, Boliang Zhang, Xiaoman Pan, Xiaocheng Feng, Heng Ji, Weiran Xu

Instead of directly relying on word alignment results, this framework combines advantages of rule-based methods and deep learning methods by implementing two steps: First, generates a high-confidence entity annotation set on IL side with strict searching methods; Second, uses this high-confidence set to weakly supervise the model training.

Named Entity Recognition NER +1

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