Reconstructing Manual Information Extraction with DB-to-Document Backprojection: Experiments in the Life Science Domain

no code implementations • EMNLP (sdp) 2020 • Mark-Christoph Müller, Sucheta Ghosh, Maja Rey, Ulrike Wittig, Wolfgang Müller, Michael Strube

We introduce a novel scientific document processing task for making previously inaccessible information in printed paper documents available to automatic processing.

pyMMAX2: Deep Access to MMAX2 Projects from Python

1 code implementation • COLING (LAW) 2020 • Mark-Christoph Müller

pyMMAX2 is an API for processing MMAX2 stand-off annotation data in Python.

Word-Level Alignment of Paper Documents with their Electronic Full-Text Counterparts

1 code implementation • NAACL (BioNLP) 2021 • Mark-Christoph Müller, Sucheta Ghosh, Ulrike Wittig, Maja Rey

We describe a simple procedure for the automatic creation of word-level alignments between printed documents and their respective full-text versions.

Optical Character Recognition (OCR)

Semantic Matching of Documents from Heterogeneous Collections: A Simple and Transparent Method for Practical Applications

1 code implementation • 29 Apr 2019 • Mark-Christoph Müller

We present a very simple, unsupervised method for the pairwise matching of documents from heterogeneous collections.

Binary Classification General Classification

Transparent, Efficient, and Robust Word Embedding Access with WOMBAT

1 code implementation • COLING 2018 • Mark-Christoph Müller, Michael Strube

We present WOMBAT, a Python tool which supports NLP practitioners in accessing word embeddings from code.

Sentence Sentence Similarity +1