EMNLP 2017
• facebookresearch/ParlAI
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We introduce ParlAI (pronounced "par-lay"), an open-source software platform for dialog research implemented in Python, available at http://parl.ai.
EMNLP 2017
• Franck-Dernoncourt/NeuroNER
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Named-entity recognition (NER) aims at identifying entities of interest in a text.
EMNLP 2017
• bfelbo/deepmoji
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NLP tasks are often limited by scarcity of manually annotated data.
We study the problem of learning to reason in large scale knowledge graphs (KGs).
KNOWLEDGE GRAPH EMBEDDING KNOWLEDGE GRAPH EMBEDDINGS KNOWLEDGE GRAPHS
EMNLP 2017
• iesl/dilated-cnn-ner
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Today when many practitioners run basic NLP on the entire web and large-volume traffic, faster methods are paramount to saving time and energy costs.
#4 best model for
Named Entity Recognition on Ontonotes v5 (English)
Determining semantic textual similarity is a core research subject in natural language processing.
We propose a novel deep learning model for joint document-level entity disambiguation, which leverages learned neural representations.
EMNLP 2017 • chaitanyamalaviya/lang-reps
One central mystery of neural NLP is what neural models "know" about their subject matter.
EMNLP 2017 • harvardnlp/data2text
Recent neural models have shown significant progress on the problem of generating short descriptive texts conditioned on a small number of database records.
#2 best model for
Data-to-Text Generation on RotoWire (Relation Generation)
EMNLP 2017 • kovvalsky/LangPro
LangPro is an automated theorem prover for natural language (https://github.com/kovvalsky/LangPro).