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Apr 24, 2024 - AIPHES
Mihaylov, Todor, 2024, "Knowledge-Enhanced Neural Networks for Machine Reading Comprehension [Source Code and Additional Material]", https://doi.org/10.11588/data/HU3ARF, heiDATA, V1
Machine Reading Comprehension is a language understanding task where a system is expected to read a given passage of text and typically answer questions about it. When humans assess the task of reading comprehension, in addition to the presented text, they usually use the knowled... |
Becker, Maria, 2024, "CoCo-Ex", https://doi.org/10.11588/data/K8MCIW, heiDATA, V1
CoCo-Ex extracts meaningful concepts from natural language texts and maps them to conjunct concept nodes in ConceptNet, utilizing the maximum of relational information stored in the ConceptNet knowledge graph. |
Becker, Maria, 2024, "LLMs4Implicit-Knowledge-Generation Public", https://doi.org/10.11588/data/5VTJ26, heiDATA, V1
Code for equipping pretrained language models (BART, GPT-2, XLNet) with commonsense knowledge for generating implicit knowledge statements between two sentences, by (i) finetuning the models on corpora enriched with implicit information; and by (ii) constraining models with key c... |
Feb 26, 2024 - RATIO_EXPLAIN
Becker, Maria, 2024, "CO-NNECT", https://doi.org/10.11588/data/SAJAD3, heiDATA, V1
This repository contains our path generation framework Co-NNECT, in which we combine two models for establishing knowledge relations and paths between concepts from sentences, as a form of explicitation of implicit knowledge: COREC-LM (COmmonsense knowledge RElation Classificatio... |
Jan 17, 2024 - Natural Language Processing Group
Opitz, Juri Alexander, 2024, "Source code and data for the PhD Thesis "Metrics of Graph-Based Meaning Representations with Applications from Parsing Evaluation to Explainable NLG Evaluation and Semantic Search"", https://doi.org/10.11588/data/RAS7U7, heiDATA, V1
This dataset contains source code and data used in the PhD thesis "Metrics of Graph-Based Meaning Representations with Applications from Parsing Evaluation to Explainable NLG Evaluation and Semantic Search". The dataset is split into five repositories: S3BERT: Source code to run... |
Jan 17, 2024
The main purpose of language is to encode and communicate information of all sorts. Our research focuses on semantics — the study of meaning — and how a machine can assign meaning to utterances: words, sentences and texts, as humans can do. Our work is linguistically informed and... |
Dec 20, 2023 - NLU anonymized
Christoph Dieterich, 2022, "CARDIO:DE [V1.01]", https://doi.org/10.11588/data/AFYQDY, heiDATA, V7
Version information CARDIO:DE 1.01 Resolved minor annotation bugs Updated TSV format (importable to INCEpTION release > 29.7) Added UIMA CAS corpus version Added annotation layer information files for INCEpTION import ( cardiode_[exp]_dependencies_inception.zip) Abstract: We pres... |
Tambini Stollwerck, Estella; Rollmann, Ivo; Friederich, Hans-Christoph; Nikendei, Christoph, 2023, "Screening for Human Trafficking among Refugees in Germany [Data and Analysis]", https://doi.org/10.11588/data/DUNN8C, heiDATA, V2, UNF:6:R3G0Z5d0LrKFPtVc+7f0yA== [fileUNF]
Background: Human trafficking occurs all over the world and its true extent is still unknown. What we know is that the actual number of trafficked persons is significantly higher than the number of registered cases in Europe or anywhere else. Human trafficking is particularly lik... |
Nov 20, 2023Universitätsbibliothek Heidelberg
This data repository presents manuscript descriptions of the Codices Palatini (codices belonging to the historical Bibliotheca Palatina originally located in Heidelberg) which have been created as XML-TEI files at the Heidelberg University Library. The description files are organ... |
Nov 13, 2023 - Neural Techniques for German Dependency Parsing
Fankhauser, Peter; Do, Bich-Ngoc; Kupietz, Marc, 2023, "Neural Dependency Parser with Biaffine Attention", https://doi.org/10.11588/data/DZ9MUS, heiDATA, V1
This resource contains the code of the dependency parser used in the paper: Fankhauser, et al. (2020). "Evaluating a Dependency Parser on DeReKo". The parser is a re-implementation of the neural dependency parser from Dozat and Manning (2017). In addition, we include two pre-trai... |
