Data publications from the DFG-funded research training group on Adaptive Information Processing from Heterogeneous Sources (AIPHES) at the CS Department at the Technical University of Darmstadt, the Institute for Computational Linguistics at the University of Heidelberg and the NLP Group at HITS.
Featured Dataverses

In order to use this feature you must have at least one published dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

Advanced Search

1 to 10 of 706 Results
Knowledge-Enhanced Neural Networks for Machine Reading Comprehension [Source Code and Additional Material]
Apr 24, 2024
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...
chapter_3_knowledgeable_reader_cloze_rc.zip
Apr 24, 2024 - Knowledge-Enhanced Neural Networks for Machine Reading Comprehension [Source Code and Additional Material]
ZIP Archive - 21.1 MB - MD5: 234d22474f6d2926ac097dfbb6260a19
chapter_3_knowledgeable_reader_openbookqa.zip
Apr 24, 2024 - Knowledge-Enhanced Neural Networks for Machine Reading Comprehension [Source Code and Additional Material]
ZIP Archive - 320.2 KB - MD5: 96f808ab2f40de6c89249204a85562c1
chapter_4_skillfull_reader.zip
Apr 24, 2024 - Knowledge-Enhanced Neural Networks for Machine Reading Comprehension [Source Code and Additional Material]
ZIP Archive - 51.5 MB - MD5: 4b1c2c8ea9b5d11e60be9851e370b716
chapter_5_discourse_aware_sem_self_att.zip
Apr 24, 2024 - Knowledge-Enhanced Neural Networks for Machine Reading Comprehension [Source Code and Additional Material]
ZIP Archive - 427.9 MB - MD5: 010569d4a22edb1bba4500a323b310c7
Source Code, Data and Additional Material for the Thesis: "Social Commonsense Reasoning with Structured Knowledge in Text"
Source Code, Data and Additional Material for the Thesis: "Social Commonsense Reasoning with Structured Knowledge in Text"
Jul 4, 2023
Paul, Debjit, 2023, "Source Code, Data and Additional Material for the Thesis: "Social Commonsense Reasoning with Structured Knowledge in Text"", https://doi.org/10.11588/data/C56QUV, heiDATA, V1
Understanding a social situation requires the ability to reason about the underlying emotions and behaviour of others. For example, when we read a personal story, we use our prior commonsense knowledge and social intelligence to infer the emotions, motives, and anticipate the act...
Argumentation_knowledge.py
Jul 4, 2023 - Source Code, Data and Additional Material for the Thesis: "Social Commonsense Reasoning with Structured Knowledge in Text"
Python Source Code - 40.2 KB - MD5: e5364cb420bcbf33f584bc974d5d43a2
atomic.cpython-35.pyc
Jul 4, 2023 - Source Code, Data and Additional Material for the Thesis: "Social Commonsense Reasoning with Structured Knowledge in Text"
Unknown - 9.8 KB - MD5: 6e5fc4adf94416e1df544ce529387c8b
atomic.cpython-36.pyc
Jul 4, 2023 - Source Code, Data and Additional Material for the Thesis: "Social Commonsense Reasoning with Structured Knowledge in Text"
Unknown - 8.9 KB - MD5: e08d9d28c6ac21ffdcba12ce852f9494
atomic.cpython-38.pyc
Jul 4, 2023 - Source Code, Data and Additional Material for the Thesis: "Social Commonsense Reasoning with Structured Knowledge in Text"
Unknown - 8.9 KB - MD5: b0e8ef49a3847b5a6ab4978ffe2a115b
Add Data

Sign up or log in to create a dataverse or add a dataset.

Sign Up Log In
Share Dataverse

Share this dataverse on your favorite social media networks.

Link Dataverse
Reset Modifications

Are you sure you want to reset the selected metadata fields? If you do this, any customizations (hidden, required, optional) you have done will no longer appear.