NLP4Prog

32 posts

NLP4Prog banner
NLP4Prog

NLP4Prog

@Nlp4Prog

The First Workshop on Natural Language Processing for Programming at ACL-IJCNLP 2021.

Beigetreten Aralık 2020
17 Folgt236 Follower
Angehefteter Tweet
NLP4Prog
NLP4Prog@Nlp4Prog·
Thank everyone for joining our NLP4Prog@ACL workshop! We have released the video recordings on the website (nlp4prog.github.io/2021/program/). Welcome any follow-up comments and discussions!
Huan Sun@hhsun1

Join us for the Workshop on Natural Language Processing for Programming @Nlp4Prog on Aug 6th (9AM-6PM ET) at #ACL2021NLP, featuring a stellar multi-disciplinary lineup of speakers from PL/NLP/HCI/Robotics. Check out the program here nlp4prog.github.io/2021/program/ @osunlp

English
1
10
37
0
NLP4Prog retweetet
SUKI 2022
SUKI 2022@suki_2022·
Hello World! Structured and Unstructured Knowledge Integration (SUKI) workshop at #NAACL2022 is welcoming submissions and shared task participations🙌! Papers due by April 8. Two shared tasks due by June 8 with cash awards🥰. Details are available 👉 suki-workshop.github.io
SUKI 2022 tweet media
English
1
16
32
0
NLP4Prog retweetet
Tao Yu
Tao Yu@taoyds·
UnifiedSKG (github.com/hkunlp/unified…) is one of the shared tasks at SUKI! We provide strong but simple unified sota code and models for 21 tasks that involve structured knowledge. Also, there is another interesting shared task FinQA on financial data! Participations welcome!👇
SUKI 2022@suki_2022

Hello World! Structured and Unstructured Knowledge Integration (SUKI) workshop at #NAACL2022 is welcoming submissions and shared task participations🙌! Papers due by April 8. Two shared tasks due by June 8 with cash awards🥰. Details are available 👉 suki-workshop.github.io

English
0
3
16
0
NLP4Prog retweetet
Tao Yu
Tao Yu@taoyds·
📣UnifiedSKG: Lots of #NLProc researchers separately study tasks that link text to structured knowledge (Table/DB/KB..). We unify 21 such tasks into a Seq2Seq format with T5 to foster idea sharing&multitasking, performing very competitive! Paper&Code: github.com/hkunlp/unified… 👇
Tao Yu tweet media
English
3
40
203
0
NLP4Prog retweetet
Torsten Scholak
Torsten Scholak@tscholak·
. @RandomlyWalking is giving his invited talk on neural guided search and example driven program synthesis
Torsten Scholak tweet media
English
4
2
19
0
NLP4Prog retweetet
Erfan Al-Hossami
Erfan Al-Hossami@ealhossa·
Check out our work @Nlp4Prog "Shellcode_IA32: A Dataset for Automatic Shellcode Generation". This work contributes the first dataset [to our knowledge] for code generation in cybersecurity. The dataset contains assembly code annotated with NL intents.
Erfan Al-Hossami tweet media
English
1
1
6
0
NLP4Prog retweetet
Charles Sutton
Charles Sutton@RandomlyWalking·
Yahav: Fundamental "theorem" of program synthesis: Synthesis is useful if cost of specification + cost of consuming result << cost of writing code yourself. #NLP4prog @yahave
English
0
7
40
0
NLP4Prog retweetet
SAGE Lab @ UCF 🌱
SAGE Lab @ UCF 🌱@SageSELab·
Wouldn’t it be great if an IDE commented your code for you?? Absolutely! But to get there we need to understand what types of errors current models for comment generation make. To learn more check out @JunayedMahmud10’s talk today @Nlp4Prog workshop! nlp4prog.github.io/2021/
English
1
5
12
0
NLP4Prog retweetet
Gabe Orlanski
Gabe Orlanski@GOrlanski·
Check out our @NLP4Prog Workshop Paper "Reading Stack Overflow Encourages Cheating" By myself and Alex Gittens during the 2nd poster session today during @aclmeeting In this work, we examine how adding full StackOverflow questions affect code generation
Gabe Orlanski tweet mediaGabe Orlanski tweet media
English
1
2
6
0
NLP4Prog retweetet
Rui Zhang
Rui Zhang@ruizhang_nlp·
Check out our #ACL2021NLP Findings paper led by students Chang (@ChangshuNlp) and Yusen! We introduce an iterative training framework and an automatic metric for logic consistency text generation from SQL and logic forms. To present in the @Nlp4Prog workshop tomorrow.👇👇👇
Chang Shu 舒畅@ChangshuNlp

In #ACL2021NLP Findings paper "Logic-Consistency Text Generation from Semantic Parses", we propose an iterative training framework, Snowball, for logic consistent NLG from semantic parses suffering data scarcity and an automatic metric, BLEC, to evaluate the logical consistency.

English
1
5
22
0
NLP4Prog
NLP4Prog@Nlp4Prog·
@bradamyers Thank you, Brad! We all look forward to your talk and your perspectives in the discussion🙂
English
0
0
0
0
NLP4Prog
NLP4Prog@Nlp4Prog·
Check out the exciting keynotes by .@yahave .@RandomlyWalking .@mlapata .@jhockenmaier .@percyliang .@StefanieTellex, Lin Tan, and @bradamyers. See you this Friday (ET)!
Huan Sun@hhsun1

Join us for the Workshop on Natural Language Processing for Programming @Nlp4Prog on Aug 6th (9AM-6PM ET) at #ACL2021NLP, featuring a stellar multi-disciplinary lineup of speakers from PL/NLP/HCI/Robotics. Check out the program here nlp4prog.github.io/2021/program/ @osunlp

English
0
0
11
0
NLP4Prog retweetet
Ben Bogin
Ben Bogin@ben_bogin·
8/ The paper will be presented at the upcoming @Nlp4Prog Workshop @ ACL2021
English
1
1
3
0
NLP4Prog retweetet
Ben Bogin
Ben Bogin@ben_bogin·
Can Text-to-SQL models generalize to complex, real-world SQL queries? Not yet, it seems! Check out SEDE, a new dataset with over 12,000 pairs of SQL queries and their description, based on naturally-occurring usage of real users with the Stack Exchange data!
Ben Bogin tweet media
English
1
11
59
0
NLP4Prog retweetet
Reut Tsarfaty
Reut Tsarfaty@rtsarfaty·
Meet the Hexagons! An online game to unleash your creativity 🌸 But also: A profound way to investigate the processing and grounding of *abstraction* expressed in natural language #NLProc @Nlp4Prog w/ Royi Lachmi, @valentina__py Excited to share! arxiv.org/abs/2106.14321
English
3
6
20
0