ParlAI: A Dialog Research Software Platform

EMNLP 2017 • facebookresearch/ParlAI •

We introduce ParlAI (pronounced "par-lay"), an open-source software platform for dialog research implemented in Python, available at http://parl.ai.

VISUAL QUESTION ANSWERING

NeuroNER: an easy-to-use program for named-entity recognition based on neural networks

EMNLP 2017 • Franck-Dernoncourt/NeuroNER •

Named-entity recognition (NER) aims at identifying entities of interest in a text.

NAMED ENTITY RECOGNITION

Using millions of emoji occurrences to learn any-domain representations for detecting sentiment, emotion and sarcasm

EMNLP 2017 • bfelbo/deepmoji •

NLP tasks are often limited by scarcity of manually annotated data.

SARCASM DETECTION SENTIMENT ANALYSIS

DeepPath: A Reinforcement Learning Method for Knowledge Graph Reasoning

EMNLP 2017 • xwhan/DeepPath

We study the problem of learning to reason in large scale knowledge graphs (KGs).

KNOWLEDGE GRAPH EMBEDDING KNOWLEDGE GRAPH EMBEDDINGS KNOWLEDGE GRAPHS

Fast and Accurate Entity Recognition with Iterated Dilated Convolutions

EMNLP 2017 • iesl/dilated-cnn-ner •

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.

NAMED ENTITY RECOGNITION STRUCTURED PREDICTION

Determining Semantic Textual Similarity using Natural Deduction Proofs

EMNLP 2017 • mynlp/ccg2lambda

Determining semantic textual similarity is a core research subject in natural language processing.

SEMANTIC TEXTUAL SIMILARITY

Deep Joint Entity Disambiguation with Local Neural Attention

EMNLP 2017 • dalab/deep-ed •

We propose a novel deep learning model for joint document-level entity disambiguation, which leverages learned neural representations.

Learning Language Representations for Typology Prediction

EMNLP 2017 • chaitanyamalaviya/lang-reps

One central mystery of neural NLP is what neural models "know" about their subject matter.

MACHINE TRANSLATION

Challenges in Data-to-Document Generation

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.

DATA-TO-TEXT GENERATION

LangPro: Natural Language Theorem Prover

EMNLP 2017 • kovvalsky/LangPro

LangPro is an automated theorem prover for natural language (https://github.com/kovvalsky/LangPro).

NATURAL LANGUAGE INFERENCE