Alternatives and similar repositories for berk266:

Users that are interested in berk266 are comparing it to the libraries listed below

• TysonYu / Laysumm
  The code repository for the paper "Dimsum @LaySumm 20: BART-based Approach for Scientific Document Summarization".
  ☆24Updated 4 years ago
• HLTCHKUST / sensational_headline
  This is the repo for sensational headline generation of our published paper in EMNLP 2019
  ☆25Updated 9 months ago
• MiuLab / DuaLUG
  The implementation of the papers on dual learning of natural language understanding and generation. (ACL2019,2020; Findings of EMNLP 2020…
  ☆66Updated 4 years ago
• andreamad8 / PPCM
  Plug-and-Play Conversational Models
  ☆29Updated 2 years ago
• soco-ai / SF-QA
  Evaluation framework for open-domain question answering.
  ☆20Updated 3 years ago
• bckim92 / sequential-knowledge-transformer
  Sequential Latent Knowledge Selection for Knowledge-Grounded Dialogue. In ICLR, 2020 (spotlight)
  ☆129Updated 4 years ago
• facebookresearch / Zero-Shot-DST
  Zero-shot dialogue state tracking (DST)
  ☆82Updated 3 years ago
• zlinao / MinTL
  MinTL: Minimalist Transfer Learning for Task-Oriented Dialogue Systems
  ☆66Updated 3 years ago
• facebookresearch / accentor
  Data & Code for ACCENTOR: "Adding Chit-Chat to Enhance Task-Oriented Dialogues" (NAACL 2021)
  ☆71Updated 3 years ago
• jiacheng-xu / neu-compression-sum
  Joint Extraction & Compression text Summarization
  ☆41Updated 5 years ago
• xcfcode / PLM_annotator
  Codes for our ACL21 paper: Language Model as an Annotator: Exploring DialoGPT for Dialogue Summarization
  ☆94Updated 3 years ago
• HLTCHKUST / adapterbot
  The Adapter-Bot: All-In-One Controllable Conversational Model
  ☆36Updated 3 years ago
• dmis-lab / excord
  Learn to Resolve Conversational Dependency: A Consistency Training Framework for Conversational Question Answering (Kim et al., ACL 2021)
  ☆32Updated 2 years ago
• yixinL7 / Refactoring-Summarization
  ☆18Updated 3 years ago
• seanie12 / CLAPS
  [ICLR 2021] Contrastive Learning with Adversarial Perturbations for Conditional Text Generation
  ☆85Updated 2 years ago
• neulab / guided_summarization
  GSum: A General Framework for Guided Neural Abstractive Summarization
  ☆115Updated 3 years ago
• taesunwhang / UMS-ResSel
  PyTorch Implementation for AAAI'21 "Do Response Selection Models Really Know What's Next? Utterance Manipulation Strategies for Multi-tur…
  ☆51Updated 4 years ago
• lauhaide / WikiCatSum
  Abstractive Multi-Document Summarisation, generating Wikipedia lead sections for specific domains. Exploiting target summaries content st…
  ☆28Updated 2 years ago
• thu-coai / HINT
  ☆35Updated 2 years ago
• JiaQiSJTU / ResponseSelection
  Multi-turn response selection using dialogue dependency relations
  ☆24Updated 3 years ago
• amazon-science / fact-check-summarization
  ☆77Updated 9 months ago
• zhongxia96 / MGSum
  Code for ACL'20 paper "Multi-Granularity Interaction Network for Extractive and Abstractive Multi-Document Summarization" .
  ☆35Updated 4 years ago
• AkariAsai / logic_guided_qa
  The official implementation of ACL 2020, "Logic-Guided Data Augmentation and Regularization for Consistent Question Answering".
  ☆71Updated 6 months ago
• hengyicai / Adaptive_Multi-curricula_Learning_for_Dialog
  The codebase for "Learning from Easy to Complex: Adaptive Multi-curricula Learning for Neural Dialogue Generation" (Cai et al., AAAI 2020…
  ☆19Updated 8 months ago
• jemmryx / EQG-RACE
  Data and code for paper "EQG-RACE: Examination-Type Question Generation" at AAAI2021.
  ☆27Updated 3 years ago
• ictnlp / DialoFlow
  Code for ACL 2021 main conference paper "Conversations Are Not Flat: Modeling the Dynamic Information Flow across Dialogue Utterances".
  ☆93Updated 3 years ago
• iitmnlp / Dialogue-Evaluation-with-BERT
  ☆30Updated 4 years ago
• jind11 / TitleStylist
  Source code for our "TitleStylist" paper at ACL 2020
  ☆76Updated 6 months ago
• salesforce / coco-dst
  ☆53Updated last year
• SALT-NLP / Multi-View-Seq2Seq
  Source codes for the paper "Multi-View Sequence-to-Sequence Models with Conversational Structure for Abstractive Dialogue Summarization"
  ☆91Updated last year