Thread by @YasharMehdad

I'm very excited and proud to announce that my team at Meta AI, with our collaborators, will have a strong presence in NAACL 2022 with 8 accepted papers on summarization, question answering and retrieval technologies.#nlproc #ai #NAACL2022 (see papers in follow-up tweets)

[Summarization and QA] Simple Local Attentions Remain Competitive for Long-Context Tasks: lnkd.in/gEPz2Ytz

[QA and Retrieval] CCQA: A New Web-Scale Question Answering Dataset for Model Pre-Training: lnkd.in/gbBV8_Rd

[QA and Retrieval] UniK-QA: Unified Representations of Structured and Unstructured Knowledge for Open-Domain Question Answering: lnkd.in/gdkacn4b

[QA and Retrieval] Domain-matched Pre-training Tasks for Dense Retrieval: lnkd.in/gkYXcuEV

[QA and Retrieval] Boosted Dense Retriever: lnkd.in/gP6k9w8f

[Summarization and Community QA] AnswerSumm: A Manually-Curated Dataset and Pipeline for Answer Summarization: lnkd.in/g87WR7Qb

[Summarization] CONFIT: Toward Faithful Dialogue Summarization with Linguistically-Informed Contrastive Fine-tuning: lnkd.in/gg3kmRRn

[Summarization] Investigating Crowdsourcing Protocols for Evaluating the Factual Consistency of Summaries: lnkd.in/g4WPR_YR