Search Results for author: Eric Nichols

Found 8 papers, 1 papers with code

Collaborative Storytelling with Large-scale Neural Language Models

no code implementations20 Nov 2020 Eric Nichols, Leo Gao, Randy Gomez

We present a collaborative storytelling system which works with a human storyteller to create a story by generating new utterances based on the story so far.

Language Modelling

Multi-label Sound Event Retrieval Using a Deep Learning-based Siamese Structure with a Pairwise Presence Matrix

no code implementations20 Feb 2020 Jianyu Fan, Eric Nichols, Daniel Tompkins, Ana Elisa Mendez Mendez, Benjamin Elizalde, Philippe Pasquier

State of the art sound event retrieval models have focused on single-label audio recordings, with only one sound event occurring, rather than on multi-label audio recordings (i. e., multiple sound events occur in one recording).


DeepNNNER: Applying BLSTM-CNNs and Extended Lexicons to Named Entity Recognition in Tweets

no code implementations WS 2016 Fabrice Dugas, Eric Nichols

In this paper, we describe the DeepNNNER entry to The 2nd Workshop on Noisy User-generated Text (WNUT) Shared Task {\#}2: Named Entity Recognition in Twitter.

Feature Engineering named-entity-recognition +2

Named Entity Recognition with Bidirectional LSTM-CNNs

13 code implementations TACL 2016 Jason P. C. Chiu, Eric Nichols

Named entity recognition is a challenging task that has traditionally required large amounts of knowledge in the form of feature engineering and lexicons to achieve high performance.

Entity Linking Feature Engineering +2

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