Search Results for author: Spencer Whitehead

Found 12 papers, 2 papers with code

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.

Document-level

GAIA: A Fine-grained Multimedia Knowledge Extraction System

no code implementations ACL 2020 Manling Li, Alireza Zareian, Ying Lin, Xiaoman Pan, Spencer Whitehead, Brian Chen, Bo Wu, Heng Ji, Shih-Fu Chang, Clare Voss, Daniel Napierski, Marjorie Freedman

We present the first comprehensive, open source multimedia knowledge extraction system that takes a massive stream of unstructured, heterogeneous multimedia data from various sources and languages as input, and creates a coherent, structured knowledge base, indexing entities, relations, and events, following a rich, fine-grained ontology.

Cross-media Structured Common Space for Multimedia Event Extraction

no code implementations ACL 2020 Manling Li, Alireza Zareian, Qi Zeng, Spencer Whitehead, Di Lu, Heng Ji, Shih-Fu Chang

We introduce a new task, MultiMedia Event Extraction (M2E2), which aims to extract events and their arguments from multimedia documents.

Event Extraction

Infusing Knowledge into the Textual Entailment Task Using Graph Convolutional Networks

no code implementations5 Nov 2019 Pavan Kapanipathi, Veronika Thost, Siva Sankalp Patel, Spencer Whitehead, Ibrahim Abdelaziz, Avinash Balakrishnan, Maria Chang, Kshitij Fadnis, Chulaka Gunasekara, Bassem Makni, Nicholas Mattei, Kartik Talamadupula, Achille Fokoue

A few approaches have shown that information from external knowledge sources like knowledge graphs (KGs) can add value, in addition to the textual content, by providing background knowledge that may be critical for a task.

Knowledge Graphs Natural Language Inference

Studying Wythoff and Zometool Constructions using Maple

no code implementations16 Aug 2019 Benoit Charbonneau, Spencer Whitehead

We describe a Maple package that serves at least four purposes.

Computational Geometry

Multilingual Entity, Relation, Event and Human Value Extraction

no code implementations NAACL 2019 Manling Li, Ying Lin, Joseph Hoover, Spencer Whitehead, Clare Voss, Morteza Dehghani, Heng Ji

This paper demonstrates a state-of-the-art end-to-end multilingual (English, Russian, and Ukrainian) knowledge extraction system that can perform entity discovery and linking, relation extraction, event extraction, and coreference.

Event Extraction Relation Extraction

Incorporating Background Knowledge into Video Description Generation

no code implementations EMNLP 2018 Spencer Whitehead, Heng Ji, Mohit Bansal, Shih-Fu Chang, Clare Voss

We develop an approach that uses video meta-data to retrieve topically related news documents for a video and extracts the events and named entities from these documents.

Text Generation Video Captioning +1

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

Entity-aware Image Caption Generation

no code implementations EMNLP 2018 Di Lu, Spencer Whitehead, Lifu Huang, Heng Ji, Shih-Fu Chang

Current image captioning approaches generate descriptions which lack specific information, such as named entities that are involved in the images.

Image Captioning

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