New Year’s Items - Seven New Year's themed items, from balloons to holographic champagne.More Mech Camo Patterns - Phranken Mech Pattern and Camo Spec Paint for all mechs. Night Vision and Thermal Vision will be required and weapons fire will light up the skyline. River City Night Map - Night variant of river city urban map.The Stalker Assault Mech - 85 tons, second only to the 100 ton Atlas, containing multiple missile and energy slots.Twin Hero Mechs: Martin Takeda's long-range Dragon DRG-FLAME & Donald Takeda's brawling Dragon DRG-FANG.gameplay performance for securing a win, loss and kill values among other fairness and balance changes. Additional economy changes include trial Mechs getting the same rewards as normal Mechs (including Mech XP), a one-time bonus for existing players who have completed over 26 matches and rewards given based on active participation for each round, i.e. Economy Update and New Cadet Bonus Rewards - New players will receive a “Cadet Bonus” (C-Bills bonus) for the first 25 games, enabling new recruits to advance faster and purchase more powerful Mechs.Note: The "any" button causes errors, so pick Assault or Conquest until the next hotfix. Cooperation among your lance is more important than ever as competing teams will constantly be trying to outflank the other and new strategies will need to be formed to win the match. Players can neutralize and then capture enemy locations by standing on them. Conquest Mode - The first new game mode (inspired by BattleTech), Conquest Mode puts five capturable locations on the map, each of which give players points over time as they are held.And just before the holidays begin, another massive update hits today, adding not just a new mech class (the assault-sized Stalker), but a pair of hero mechs, to go along with a brand new night-focused map variant, the first new game mode, and tons of balancing tweaks. Needless to say, MechWarrior Online is getting deeper and deeper as weapon systems and balancing improves. The game was also bolstered with more in-game features, including new types on warfare involving electronic countermeasures. One of the recent big updates added a new mech, the heavy Cataphract, along with mech camo customization, meaning players can use in-game currency or real-money to paint their war machine with pretty (or menacing) colors and patterns.
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Quarel: A dataset and models for answering questions about qualitative relationships. In Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, 30 October–2 November 2018 pp. Coqa: A conversational question answering challenge. In Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, Copenhagen, Denmark, 9–11 September 2017 pp. RACE: Large-scale ReAding Comprehension Dataset From Examinations. In Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, Seattle, WA, USA, 18–21 October 2013 pp. Mctest: A challenge dataset for the open-domain machine comprehension of text. In Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers), Melbourne, Australia, 15–20 July 2018 Volume 1 (Long Papers), pp. Looking beyond the surface: A challenge set for reading comprehension over multiple sentences. In Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, Vancouver, BC, Canada, 12–15 July 2017 Volume 1: Long Papers, pp. TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension. Natural questions: A benchmark for question answering research. In Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, Austin, TX, USA, 1–5 November 2016 pp. SQuAD: 100,000+ Questions for Machine Comprehension of Text. Building Watson: An overview of the DeepQA project. In Proceedings of the 2002 Conference on Empirical Methods in Natural Language Processing (EMNLP 2002), Philadelphia, PA, USA, 6–7 July 2002 pp. An analysis of the AskMSR question-answering system. In Proceedings of the 38th annual meeting of the Association for Computational Linguistics, Hong Kong, China, 10–12 October 2000 pp. The structure and performance of an open-domain question answering system. The TREC-8 question answering track report. The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. We were able to achieve 42% F1 and 39% exact match score (EM) end-to-end with no domain-specific training. Our custom-built extractor model is created from a pretrained language model and fine-tuned on the the Stanford Question Answering Dataset-SQuAD and Natural Questions datasets. In this paper, we conducted experiments on several information retrieval systems and extractive language models, attempting to find the yes–no–none answers and text answers in the same pass. To test our solution, we are introducing a new dataset for open-book QA based on real customer questions on AWS technical documentation. We present a two-step, retriever–extractor architecture in which a retriever finds the right documents and an extractor finds the answers in the retrieved documents. These questions have a yes–no–none answer and a text answer which can be short (a few words) or long (a few sentences). This article proposes a solution for answering natural language questions from a corpus of Amazon Web Services (AWS) technical documents with no domain-specific labeled data (zero-shot). Open-book question answering is a subset of question answering (QA) tasks where the system aims to find answers in a given set of documents (open-book) and common knowledge about a topic. The manuscript can be traced through various auctions in Germany in the late 19th and early 20th centuries. Ī nineteenth-century scholar, thought perhaps to be Weber, repaired the manuscript by attaching new paper to its right edge, and on the added material wrote "Originalhandschrift von Mozart", that is, "original manuscript by Mozart". In a number of places the lyrics are blurry and difficult to read, a condition Weber attributed to stray droplets of champagne. The autograph (original manuscript copy) has survived it is a "tiny slip of paper" (Searle) on the reverse side of which is-as Weber noted-the original copy of K. Weber does not say where his story came from.įor more on Mozart's habit of favoring his friends with vulgar mockery, see Joseph Leutgeb. After the strange Latin words had emerged from Peyerl's mouth in the anticipated comical way-to the satisfaction of all present-Mozart turned over the page, and had the group, instead of applauding, sing the triumphal mocking canon "O du eselhafter Peierl". At the same time, on the reverse side of the same sheet of paper Mozart wrote the mocking canon " O du eselhafter Peierl" ("Oh, you asinine Peierl"), K. would emerge in Peyerl's pronunciation in a comical way, with the expectation that he would not notice this and would be fooled. One evening, at a merry gathering, Mozart had the idea of writing a canon in which the few Latin words "Difficile lectu" etc. The otherwise outstanding Peierl had a number of remarkable idiosyncrasies of pronunciation, which Mozart often poked fun of in friendly interactions with him and with other friends. In his commentary, Weber included the following. In an 1824 issue of Caecilia, the journal he edited, Weber published a facsimile of the original manuscript of the canon (see figure above). Michael Quinn writes, "Mozart clearly relished the incongruity resulting from ribald verse set as a canon, traditionally regarded as the most learned of all compositional techniques." First performance Ī tale concerning how the canon was composed and first sung was offered by Gottfried Weber, a musicologist and editor of the early 19th century. The line thus translates as "It is difficult to lick my arse and balls". Emanuel Winternitz explains that when this word is sung repeatedly and rapidly, as in the canon, its syllables are liable to be heard as the Italian word cujoni, or in modern writing coglioni, meaning "balls, testicles". The second pun in the canon is based on the single Latin word jonicu. More idiomatically, the phrase could be translated "kiss my arse" (American English "kiss my ass"). As Jean-Victor Hocquard points out, the pseudo-Latin lyrics lectu mihi mars, as Peyerl would have sung them, resemble Bavarian German leck du mi im Arsch, which in a literal English rendering is " lick me in the arse". The German pun is based on the strong Bavarian accent of the tenor-baritone Johann Nepomuk Peyerl (1761–1800), who can be presumed to have been the lead singer in the first performance (see below). The humor of the work consists of hearing these words instead as vulgar phrases of German and Italian. The lyrics are-ostensibly-in Latin, though as they are given in sequence they do not make sense in this language:ĭifficile lectu mihi mars et jonicu difficile. The work features two bilingual puns and some scatological humor. 559 was evidently meant entirely for fun. Text Īlthough some of the canons in the 1788 set have serious (that is, religious) lyrics, K. The work was entered by the composer into his personal catalog on 2 September 1788 as part of a set of ten canons it was probably written some time during the years 1786–87. The words are probably by Mozart himself. The music, in F major, is set for three singers. 559, is a canon composed by Wolfgang Amadeus Mozart. Autograph score (facsimile published by Gottfried Weber) Since we understand how valuable our AI-powered tool can be for you, we do everything in our power to create the best experience tailored to your writing needs. Custom Essay Writing Dissertation Research Paper Term Paper. Get a detailed report with highlighted mistakes and suggestions on how to fix themįeel free to come back to this website whenever you need an in-depth and accurate content check. 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