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AIPHES's Projects

aiphes-hd-tac2016-kbp-event-nuggets icon aiphes-hd-tac2016-kbp-event-nuggets

Code for the paper Mihaylov and Frank (2016): AIPHES-HD system at TAC KBP 2016: Neural Event Trigger Span Detection and Event Type and Realis Disambiguation with Word Embeddings.

annotation-importance icon annotation-importance

This repository contains code for preprocessing and data to reproduce experiments for a collaboration study conducted at AIPHES

auto-hmds icon auto-hmds

auto-hMDS: a large heterogeneous multilingual multi-document summarization corpus

bpemb icon bpemb

Pre-trained subword embeddings in 275 languages, based on Byte-Pair Encoding (BPE)

conll16st-hd-sdp icon conll16st-hd-sdp

Code for the paper "Discourse Relation Sense Classification Using Cross-argument Semantic Similarity Based on Word Embeddings" - participation in the CoNLL 2016 shared task on Discourse Relation Sense Classification http://www.cs.brandeis.edu/~clp/conll16st/

dbs icon dbs

A summarization corpus of coherent extracts

densityalign icon densityalign

Constrained Density Matching and Modeling for Cross-lingual Alignment of Contextualized Representations

discoscore icon discoscore

DiscoScore: Evaluating Text Generation with BERT and Discourse Coherence

emnlp19-moverscore icon emnlp19-moverscore

MoverScore: Text Generation Evaluating with Contextualized Embeddings and Earth Mover Distance

germapos icon germapos

GermaNER: Free Open German Named Entity Recognition Tool

hmds icon hmds

hMDS: the heterogeneous multi-document summarization corpus

ijcnlp2017-cmaps icon ijcnlp2017-cmaps

Repository for the IJCNLP 2017 paper "Concept-Map-Based Multi-Document Summarization using Concept Co-Reference Resolution and Global Importance Optimization"

mdswriter icon mdswriter

A software for manually creating multi-document summarization corpora and a platform for developing complex annotation tasks spanning multiple steps.

naacl-mpqa-srl4orl icon naacl-mpqa-srl4orl

SRL4ORL: Improving Opinion Role Labeling Using Multi-Task Learning With Semantic Role Labeling

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